Available for AI/ML engineering, research & collaboration
Building AIthat can explainitself.
I'm Syed Raza — an AI/ML and software engineer who also researches and teaches the subject. At Twelvetech Systems I build agents, LLM-powered assistants, computer vision and IoT systems, and the Java and Python backends underneath them. As a researcher I have fifteen outputs and eight named governance frameworks, a PhD in progress on explainable AI, and a seat on an IEEE Standards Association committee. I also lecture across Levels 3–7.
PRISM+SAGE-GOVC-3FCIANPLEX-QAAICEMStar-TBLEQMLIEEE XploreSpringer NatureUniversity of OxfordPRISM+SAGE-GOVC-3FCIANPLEX-QAAICEMStar-TBLEQMLIEEE XploreSpringer NatureUniversity of Oxford
01 — What I build
Six things I ship, end to end.
From the model and the pipeline through to the API, the database and the container it runs in.
AI agents & assistantsAGT
Autonomous desktop and workflow agents with tool use, persistent memory, file handling and safety-focused automation controls. Local or hosted models, swappable at runtime.
PythonFlaskOllama / LlamaOpenAI APIAgent tooling
Applied ML & predictionML
Classification and risk models end to end — preprocessing, feature engineering, training, evaluation, then integration behind a dashboard people actually use.
Context-aware text classification and sentiment pipelines that separate real signal from noise, with privacy-conscious handling of sensitive data built in from the start.
NLPText classificationSentiment analysisPrivacy by design
Computer visionCV
Instance segmentation and image classification — localising damage on vehicle imagery with Mask R-CNN, and running classifiers on-device through TensorFlow Lite where there is no network to rely on.
Sensor rigs on ESP8266 and Arduino streaming to Firebase in real time, with mobile apps closing the loop — reading conditions, deciding, and actuating hardware back in the field.
Java 17 and Spring Boot services, REST and SOAP APIs, Spring Cloud microservices with OpenFeign and Ribbon, WebSocket real-time reporting and background processing.
Relational and NoSQL design, PL/SQL procedures, schema and query optimisation, and the reporting layers on top — from Oracle enterprise stacks to graph stores.
Full SDLC ownership: requirements, architecture, build, test, deploy. Containerised delivery, CI pipelines, monitoring frameworks and legacy migration without downtime.
Three threads, one question: can it show its working?
Engineering
Shipping the thing, not the slide
Every system here reached users. The student risk agent, the desktop assistant and the mental-health classifier all began as questions and ended as running software — trained, evaluated, integrated and deployed, not left in a notebook.
Governance
Governance that survives an org chart
Most AI governance writing stops at principles. SAGE-GOV, C-3F and Star-TBL are deliberately operational — pillars, phases, audit trails and metrics an SME can actually run without a compliance department.
Assessment
Making AI legible in the classroom
Detection-led approaches to generative AI are losing. My work argues for the opposite — transparent, co-intelligent assessment where both the student's reasoning and the system's reasoning can be inspected. That's CIAN, and it's what the PhD is taking further.
03 — Frameworks
Eight named models, not eight sets of principles.
Each one is an operational artefact: pillars, phases, metrics. Tap any card to open it.
PRISM+MA
Modular lifecycle model embedding privacy, fairness, environmental accountability and human oversight into AI-powered advertising.
Six-pillar roadmap — strategy, readiness, governance, ethical & environmental-by-design, pilot–monitor–scale, stakeholder engagement — for ESG-aligned digital transformation.
Sustainable AI–Green Enterprise Governance
ESGGreen techEnterprise governanceSME to large
C-3FFI
Privacy-preserving federated learning for cross-border FinTech that satisfies multi-jurisdictional AML/KYC regulation with an auditable governance architecture.
Compliance-First Federated Framework (TRACER)
Federated learningAML/KYCCross-borderAuditability
CIANED
Pedagogical framework redefining assessment as a co-intelligent, transparent and accountable process supporting AI-augmented creativity and reflection.
Recentres internal QA on the student learning experience, treating it as the primary object and performance metrics as evaluative signals rather than ends.
Four-phase implementation pathway linking AI use cases to auditable energy benchmarks, causal impact evaluation and verifiable net-zero outcomes.
AI-enabled Carbon and Energy Management
Net zeroUK manufacturingCausal inferenceBenchmarks
Star-TBLSU
Scalable, governance-aware model letting SMEs combine predictive, prescriptive and generative AI to improve economic, environmental and social supply chain performance.
Triple Bottom Line AI Adoption
Supply chainUK SMEsTriple bottom lineIEEE Xplore
EQMLQU
Hybrid architectures pairing classical embedded processors with remote or compact quantum co-processors, plus engineering and governance pathways for deployment.
Machine learning and agents, computer vision, IoT rigs that read the physical world, Android apps running models on-device, and enterprise platforms from the Java and Spring years. Each one owned end to end — data pipeline, model, service layer, interface, deployment. Percentages are measured or estimated against the baseline they replaced.
A Windows desktop assistant that runs local or hosted models and takes the repetitive edges off a working day.
Built in Python and Flask with an HTML/CSS/JS front end — tasks, notes, reminders, memory and file operations, around 40% less time in manual workflows.
Added local Llama/Ollama and OpenAI-compatible model support for workspace search, file summarisation and web lookup, improving retrieval speed by roughly 60%.
Shipped safety-focused automation controls, diagnostics, .env configuration and Windows setup scripts, halving setup and troubleshooting time.
A context-aware web platform that reads written input for behavioural and mental-health indicators, then presents insight without overreaching into diagnosis.
Collected input, analysed indicators and surfaced AI-supported insight, reducing manual assessment and reporting effort by an estimated 50%.
Trained and evaluated a model to identify risk patterns from contextual signals, improving prediction consistency by around 35%.
Owned the full pipeline: preprocessing, feature engineering, model integration, dashboard deployment and privacy-conscious handling of sensitive data.
NLPFeature engineeringModel evaluationPrivacy by designDashboards
0less manual assessment
0better consistency
0faster turnaround
Smart Agriculture Monitoring System
SAMS · IoT + on-device ML
Field sensors read the soil, an on-device model decides whether the crop needs water, and the farmer can start the pump from their phone. A closed loop, end to end.
Built an ESP8266 sensor rig capturing soil moisture, temperature, humidity and water level, streaming readings to Firebase in real time.
Wrote an Android application that pulls live data and runs an on-device ML model to decide whether irrigation is needed.
Closed the loop with remote pump control from the app over IoT-enabled devices — the system reads, decides and acts without anyone walking the field.
Point a phone camera at rice seed and get a healthy-or-not answer immediately, with no network round trip.
Built an Android application that classifies seed health in real time from live camera input.
Ran a lightweight model on-device through TensorFlow Lite so it works in the field without connectivity.
Trained the classifier via Google Teachable Machine, then exported and integrated it — giving farmers and researchers a fast, repeatable quality check.
Continuous temperature and humidity monitoring for an incubator, where drift of a couple of degrees is the difference between a hatch and a loss.
Built the monitoring device on an ESP8266 with an AM2302 temperature and humidity sensor.
Captured continuous environmental readings for real-time tracking against target incubation conditions.
Designed the rig for reliable long-run data collection rather than spot checks.
CArduino IDEESP8266AM2302Real-time telemetry
MCUESP8266
SensorAM2302
SignalsTemperature + humidity
Task Tracker Hub
CrecenTech Systems (Pvt) Ltd
Employee activity tracking built for visibility and accountability rather than surveillance theatre.
Led development of task-level tracking to improve workforce visibility and operational performance management.
Delivered secure real-time reporting and background processing for centralised monitoring and data-informed decisions.
Introduced idle-time alerts and activity justification prompts to strengthen productivity discipline.
Led the move from Java Swing to JavaFX, achieving an 80% improvement in user satisfaction.
JavaSpring BootJavaFXWebSocketReal-time reporting
0satisfaction uplift
Asset Management System
Softech Systems (Pvt) Ltd
Full asset lifecycle management — procurement through to disposal — for an organisation that needed its numbers to reconcile.
Designed and implemented procurement, allocation, tracking and disposal flows, reducing reporting errors by 30%.
Delivered role-based access control and authentication, strengthening governance and improving security by 40%.
Oversaw cost, depreciation and end-of-life tracking modules for accurate financial reporting and compliance.
JavaPL/SQLStrutsJSFOracle 11gRBAC
0fewer report errors
0security improvement
— Engineering practice
How the work actually gets done.
Full SDLC ownership
Requirements analysis, architecture, design, implementation, testing and deployment — working alongside clients, business analysts and QA rather than throwing builds over a wall.
Legacy migration
Led a Struts-to-Spring-Boot migration that rebuilt core functionality while improving performance, scalability and maintainability, plus a Java Swing to JavaFX rewrite that lifted satisfaction 80%.
ML pipelines end to end
Preprocessing, feature engineering, model training and evaluation, then integration into a dashboard — including privacy-conscious handling where the data is sensitive.
Production reliability
Monitoring frameworks, performance analytics, incident management and RBAC-backed access control, built across three years running enterprise IT operations.
Grouped honestly. The ML and LLM work is what I build with now; the Java and Spring stack is years of production experience behind it; the academic practice is daily work. Percentages are my own read, not a certification.
0
Machine learning
0
Deep learning & CV
0
Python & data
0
LLMs & agents
0
Java & Spring
0
IoT & embedded
0
Cloud & DevOps
0
Teaching & curriculum
01 — Stack
12 groups.
Machine learning
Supervised & unsupervised learningClassificationRegressionModel training & evaluationData preprocessingFeature engineeringPredictive analyticsscikit-learnPandasNumPyMatplotlibSeaborn
Spring BootSpring MVCSpring Data JPASpring WebSocketSpring Data RESTSpring CloudOpenFeignRibbonHibernateProject LombokFlaskStruts 1 & 2Java EE (JSP, Servlet, EL, JSTL)
Classroom managementStudent-centred learningActive listeningConflict resolutionCollaborationTime managementAdaptabilityProblem solvingContinuous professional development
Seven years of shipping software, and teaching how it's built.
Regent College LondonLevels 3–7
Teaching object-oriented design — classes, attributes and inheritance, using the one class hierarchy everyone already knows.
I build AI systems for a living, research how to keep them accountable, and teach software engineering at degree level. The three feed each other constantly.
The engineering came first and never stopped. Java and Spring in Lahore — a Struts-to-Spring-Boot migration, microservices for a multi-vendor ordering platform, then team-lead roles on asset lifecycle and workforce tracking systems. Then London: three years running enterprise IT operations, and since 2025 my own company building for clients. Somewhere in there I discovered I was better at explaining the architecture than defending it in a standup, and the teaching started alongside it.
Most of my building energy now goes into AI and ML. A student risk-prediction agent that reads attendance, submissions, grades and engagement signals and flags learners before they fall through. A Windows desktop assistant running local Llama/Ollama or OpenAI-compatible models with tool use, memory, file handling and safety controls. A context-aware NLP platform that detects mental-health indicators in written language, with privacy handling designed in from the start. Each one is a full pipeline — preprocessing, feature engineering, training, evaluation, integration, deployment — not a notebook.
Since 2024 I've been a Lecturer and Module Leader at Regent College London, a University of Greater Manchester delivery partner, teaching computing and software engineering across Levels 3–7. I lead module design and moderation, write assessments and module guides, and supervise dissertations. I teach on the PCC model — prepare, collaborate, consolidate — because the interesting part of a class is what happens when students arrive having already read something.
In 2025 I founded Twelvetech Systems to do this properly: AI agents, chatbots, automation tooling and bespoke platforms, delivered end to end from requirements through to client handover. The same year I began visiting lecturing at London Brookes College. In 2026 I joined an IEEE Standards Association revision committee working on the standard for engineering and managing websites for systems, software and services information.
My research sits at the join — fifteen outputs across AI governance, sustainable digital transformation, quantum machine learning, FinTech compliance and assessment design, most of them producing a named, operational framework rather than a set of principles. I have a PhD in Computer Science in progress at the University of Greater Manchester, researching explainable AI in higher education assessment.
01 — Education
Five qualifications, two countries.
In progress
PhD, Computer Science
University of Greater Manchester
Researching explainable AI in higher education assessment — the thread running through CIAN, PLEX-QA and the wider governance work.
2023 – 2024 · London
MSc Software Engineering — Distinction
University of Bolton
DevOps, research methods, contemporary software engineering practices, software project management, advanced programming, database systems and cloud computing, with additional study in AI and machine learning.
2017 – 2021 · Pakistan
BSc Computer Science — Merit
University of Narowal
Programming, data structures, algorithms, database management, networking, software development and systems analysis.
2017 · Pakistan
Intermediate, Pre-Engineering — Distinction
Government College, Zafarwal
Mathematics, physics and chemistry.
2015 – 2017 · Pakistan
Matriculation, Science — Distinction
NEST School, Narowal
Mathematics, physics, chemistry and biology.
02 — Fellowships & membership
Recognised where it counts.
🏛
Fellow of the Royal Society of Arts (FRSA)
Royal Society of Arts · Feb 2026 · No. 8434737
💻
Associate Member, British Computer Society (AMBCS)
BCS · May 2025 · No. 995165200
🎓
Fellow of the Higher Education Academy
Advance HE · In progress
⚙
Member, IEEE Standards Association Revision Committee
IEEE SA · Feb 2026 – Present
🧩
Level 5 Badge, Problem Solving
Coding Ninjas
03 — Certification
Six programmes, 2025.
Personal Academic Tutoring (PAT) Programme
Regent College London · Oct 2025
Strategy and Sustainability
IESE Business School · Aug 2025
Agile Leadership: Introduction to Change
University of Colorado System · Aug 2025
The Sustainable Development Goals
University of Copenhagen · Aug 2025
Oracle Java Foundations
Oracle · Aug 2025
Introduction to Scrum Profession
IBM · Jul 2025
04 — Invited talks
Two guest sessions, April 2025.
Invited
Artificial Intelligence and Machine Learning in Healthcare, Education and Industry
Al Shifa Institute of Health Sciences · April 2025
Invited session on practical AI applications, emerging career pathways, and building applied technical skill through projects, coding and continuous learning.
Invited
Information Technology, Digital Skills and Career Counselling
University of Narowal · April 2025
Invited talk on academic progression, employability, AI-related career pathways and continuous professional development in the technology sector.
Eleven roles across engineering, founding and teaching.
Engineering and founding first, then the standards work, then the teaching — each block newest first. Filter by track, or expand any role for the detail.
CurrentJun 2025 — PresentEngineering & founding
Founder & Chief Executive
Twelvetech Systems LimitedLondon
Founded an AI-focused software company delivering custom agents, chatbots, automation tooling, web platforms and bespoke systems — improving client workflow efficiency by an estimated 40–60%.
Direct end-to-end product development: requirements, UI/UX, backend engineering, model and API integration, testing, deployment and handover — cutting turnaround by roughly 35%.
AI agentsProductClient deliveryStrategy
Built the company's digital presence, service strategy and client acquisition pipeline.
Positioned the business around AI automation, predictive analytics and intelligent systems for digital transformation.
CurrentFeb 2026 — PresentStandards
Member, Revision Committee
IEEE Standards AssociationInternational
Revising the technical standard on Systems and Software Engineering — engineering and management of websites for systems, software and services information.
Co-revised the Testing and Validation of Websites section with the international working group.
StandardsTesting & validationGlobal working group
Jun 2021 — Aug 2024Engineering & founding
IT Operations Manager
Navv Associates LtdLondon
Owned enterprise IT operations end to end — availability, performance optimisation, incident management and service continuity for business-critical functions.
Aligned infrastructure, applications and support teams to standardise process, speed incident resolution and lift service delivery measurably.
Service continuityIncident managementMonitoring
Introduced monitoring frameworks and performance analytics that reduced downtime, improved resilience and enabled data-driven decisions at organisational level.
Jun 2022 — Mar 2023Engineering & founding
Team Lead / Software Developer
Softech Systems (Pvt) LtdLahore, Pakistan
Led migration from Struts to Spring Boot, rebuilding core functionality and improving performance, scalability and maintainability.
Built front-end and back-end for the Asset Management project in Java, PL/SQL, Struts and JSF.
JavaSpring BootPL/SQLStruts → Spring
Worked with clients, business analysts and QA across the SDLC, achieving a 15% reduction in processing time for key operations.
Sep 2021 — Apr 2022Engineering & founding
Team Lead / Software Developer
CrecenTech Systems (Pvt) LtdLahore, Pakistan
Backend developer on Task Tracker Hub and Click to Mail — business logic in Java and Spring (Boot, MVC, Data JPA, WebSocket, Data REST).
Partnered with the CTO, project manager and testing team to integrate backend services with front-end designs against fixed deadlines.
Spring MVCWebSocketData JPAJavaFX
Contributed across the full SDLC: requirements analysis, design, development, testing and deployment.
Nov 2020 — Feb 2021Engineering & founding
Software Developer
EVS Training InstituteLahore, Pakistan
Backend developer on a multi-vendor online food ordering system using Java, Python, Spring Boot and Flask.
Built scalable microservices supporting multiple vendors — 20% faster order processing, 15% less downtime.
MicroservicesFlaskSpring BootPython
CurrentSep 2024 — PresentHigher education
Lecturer / Module Leader
Regent College LondonUniversity of Greater Manchester · London
Lecture across Levels 3–7 computing modules — Advanced Software Development, Contemporary Software Engineering Practices, Research Methods, Cloud Technologies, Data Structures and Algorithms, Object-Oriented Analysis and Design, Relational Databases — alongside dissertation supervision.
Design and deliver module content on the PCC model (Prepare, Collaborate, Consolidate) with assessments and module guides aligned to learning outcomes, OfS requirements and partner quality assurance standards.
Levels 3–7Module leadershipModerationOfS
Lead module moderation: review assessments, exam papers and briefs for constructive alignment with learning objectives.
Also lecture across Levels 3–7 business and management modules, from Business Environment and Accounting Principles through Strategic Management, Corporate Governance and International HRM.
Collaborate with faculty, programme leaders and academic partners to keep content current against partner guidelines and institutional administration processes.
Contribute to institutional publications and research outputs as part of the research team.
Participate in student recruitment, including interviews for intention-to-study applicants.
CurrentJun 2025 — PresentHigher education
Visiting Lecturer / Module Leader
London Brookes CollegeLondon
Teach across business and computing modules including Marketing Processes and Planning, Leadership and Management, Accounting Principles and Managing Human Resources.
Lead module planning, delivery and academic coordination against curriculum objectives, assessment requirements and quality assurance standards.
BusinessComputingAssessment design
Design and review teaching materials, assessments and learning activities supporting engagement, progression and industry relevance.
Sep 2024 — Dec 2025Secondary & tutoring
Computing Teacher
Step TeachersLondon
Taught Computer Science and coding at KS3, KS4 and KS5, setting homework and exam-style questions.
Supervised classes and maintained lesson continuity during teacher absence.
KS3–KS5Computer ScienceCover supervision
Jun 2023 — Aug 2024Secondary & tutoring
Computing Teacher
East London TutorsLondon
Tutored Maths, Physics, Chemistry, Biology, Computer Science and coding across KS3–KS5.
Supported SEN learners, including students with ADHD, through personalised coaching that built confidence alongside attainment.
SEN supportSTEM tutoringAQA · Edexcel · OCR
Worked to AQA, Edexcel and OCR specifications, maintaining subject-network membership to stay current with best practice.
Sep 2023 — Sep 2024Secondary & tutoring
Computing Teacher
Tarbiyyah Secondary SchoolHeston, London
Delivered lessons designed to move students measurably through the specification and into stronger exam outcomes.
Assessed homework with constructive written feedback supporting continuous progression.
Curriculum deliveryFeedbackRevision workshops
Ran mock exams, revision workshops and project showcases to raise engagement across AQA, Edexcel and OCR routes.
Fifteen outputs across AI governance, assessment design, sustainability, quantum machine learning and regulated finance — ten of them published, four as first author, with eight named operational models between them. Published through IEEE Xplore, Springer Nature, the University of Oxford and Regent College London.
01 — Named frameworks
Eight models you can actually run.
Tap a card to see what it decomposes into.
PRISM+MA
Modular lifecycle model embedding privacy, fairness, environmental accountability and human oversight into AI-powered advertising.
Six-pillar roadmap — strategy, readiness, governance, ethical & environmental-by-design, pilot–monitor–scale, stakeholder engagement — for ESG-aligned digital transformation.
Sustainable AI–Green Enterprise Governance
ESGGreen techEnterprise governanceSME to large
C-3FFI
Privacy-preserving federated learning for cross-border FinTech that satisfies multi-jurisdictional AML/KYC regulation with an auditable governance architecture.
Compliance-First Federated Framework (TRACER)
Federated learningAML/KYCCross-borderAuditability
CIANED
Pedagogical framework redefining assessment as a co-intelligent, transparent and accountable process supporting AI-augmented creativity and reflection.
Recentres internal QA on the student learning experience, treating it as the primary object and performance metrics as evaluative signals rather than ends.
Four-phase implementation pathway linking AI use cases to auditable energy benchmarks, causal impact evaluation and verifiable net-zero outcomes.
AI-enabled Carbon and Energy Management
Net zeroUK manufacturingCausal inferenceBenchmarks
Star-TBLSU
Scalable, governance-aware model letting SMEs combine predictive, prescriptive and generative AI to improve economic, environmental and social supply chain performance.
Triple Bottom Line AI Adoption
Supply chainUK SMEsTriple bottom lineIEEE Xplore
EQMLQU
Hybrid architectures pairing classical embedded processors with remote or compact quantum co-processors, plus engineering and governance pathways for deployment.
Embedded Quantum Machine Learning
QuantumEdge & IoTHybrid architectureFeasibility
02 — Research signal
Where the work has landed.
0
Published outputs
0
In IEEE Xplore
0
First-author studies
0
Frameworks authored
03 — Publications
Fifteen outputs.
PublishedCo-author
AIEOU Shared Research Agenda 2026
Department of Education, University of Oxford · Mar 2026
A research agenda on the future of artificial intelligence in education — defining interdisciplinary research priorities, governance considerations and collaborative pathways for responsible AI integration across global education systems.
PublishedCo-authorPLEX-QA
Recentring Internal Quality Assurance on the Student Learning Experience: The PLEX-QA Approach
Regent College London · Apr 2026
Reframes internal quality assurance as a recursive enhancement system, treating the learning experience as the primary object of QA while performance metrics act as evaluative signals rather than ends in themselves.
PublishedCo-author
Quantum Machine Learning: A Transformative Approach for Big Data and Complex Systems
RCL Research and Scholarship Digest, Issue 13 · Mar 2026
Examines hybrid quantum-classical workflows, quantum data encoding and variational quantum circuits, and where they plausibly land across education, research and industry.
PublishedCo-author
Beyond Bans and Bots: A Self-Determination Theory Approach to Academic Integrity and Generative AI
RCL Research and Scholarship Digest, Issue 13 · Mar 2026
Argues for a partnership model of generative AI use built on autonomy, competence and relatedness, as an alternative to detection-led compliance regimes.
PublishedCo-authorC-3F
Federated Learning for Cross-Border FinTech Compliance: A TRACER-Based Framework for Auditable AML/KYC
IEEE Xplore
A compliance-first federated AI framework for cross-border FinTech, enabling privacy-preserving model training while satisfying multi-jurisdictional regulation through auditable federated governance.
PublishedFirst authorStar-TBL
The Role of Artificial Intelligence in Enhancing Triple Bottom Line Sustainability in UK SME Supply Chains
IEEE Xplore
A scalable, governance-aware model letting SMEs combine predictive, prescriptive and generative AI to improve economic, environmental and social supply chain performance.
PublishedCo-authorEQML
Embedded Quantum Machine Learning in Embedded Systems: Feasibility, Hybrid Architectures and Quantum Co-Processors
IEEE Xplore
Assesses the feasibility of quantum machine learning at the edge, proposing hybrid architectures that pair classical embedded processors with remote or compact quantum co-processors.
PublishedCo-author
Measuring and Governing AI-Enabled Decision Transformation in Business
An integrative governance and measurement framework linking AI workflow embedment, stewardship capability, accountability structures and decision-quality metrics to value capture and risk management.
PublishedCo-author
Context-Aware Machine Learning for Detecting Clinical Mental Health Indicators in Social Media
IEEE Xplore
A feature-driven NLP framework over large-scale Reddit data that separates clinical signals of depression and anxiety from general negative mood, with privacy and ethical safeguards built in.
PublishedCo-author
AI Governance Capability for AI-Enabled Digital Transformation: A Curated Systematic Review and Research Agenda
IEEE Xplore
A multidimensional governance framework spanning data stewardship, model lifecycle management, explainability, human oversight and accountability.
PresentedCo-authorSAGE-GOV
Integrating Generative AI and Green Technology in Enterprise Governance
Accepted and presented · Conference
A six-pillar roadmap — strategy, readiness, governance, ethical and environmental-by-design, pilot–monitor–scale, stakeholder engagement — for ESG-aligned digital transformation in SMEs and large enterprises.
PresentedCo-author
Digital Twins to Achieve Net-Zero: A Comprehensive Framework for the Power Sector in Bangladesh
Accepted and presented · Conference
Addresses gaps in net-zero policy, real-time energy monitoring and sustainable energy governance, showing how digital twins enable predictive analysis, optimisation and emissions reduction.
Book chapterAuthorCIAN
Pedagogical Innovation in the GenAI Era: Designing and Assessing Student Submissions through a Strategic Framework
Springer Nature
The Co-Intelligence Assessment Nexus redefines assessment as a co-intelligent, transparent and accountable process supporting AI-augmented creativity, reflection and personalised learning.
Under reviewFirst authorPRISM+
Integration of Generative AI in Digital Marketing: A Framework for Sustainable Advertisement
Under review · In review
Analyses sustainability risk in AI-driven advertising — environmental impact, ethics, governance, digital clutter — and proposes a modular lifecycle model embedding privacy, fairness, environmental accountability and human oversight.
Under reviewFirst authorAICEM
AI-Driven Energy Efficiency in UK Manufacturing: Causal Impacts on Emissions and Cost
Under review · In review
A four-phase implementation pathway linking AI use cases to auditable energy benchmarks, causal impact evaluation and verifiable net-zero outcomes.
04 — Standards
IEEE Standards Association.
Feb 2026 — Present
Systems and Software Engineering — engineering and management of websites for systems, software and services information
Member of the revision committee, working internationally on the updated technical standard, including co-revision of the section on testing and validation of websites.
Delivered on the BEng (Hons) Software Engineering, BSc (Hons) Computing, MSc Software Engineering and MSc Artificial Intelligence programmes — plus module leadership, moderation, internal verification and dissertation supervision.
01 — Method
The PCC model.
Contact time is the scarcest resource in a module, so it should be spent on the things that only work with other people in the room.
P
Before class
Prepare
Reading, pre-recorded explanation and a short check of understanding, so nobody arrives cold and contact time isn't spent on transmission.
C
In class
Collaborate
Argument, critique, live debugging and group design — the work that genuinely needs a room, a whiteboard and other people's disagreement.
C
After class
Consolidate
Applied tasks, formative feedback and reflection that turn the session into something retrievable rather than something attended.
As Module Leader and Moderator I write module guides and assessments, run moderation on papers and briefs for constructive alignment, and keep content mapped to OfS requirements and partner quality assurance standards. I've supported SEN learners including students with ADHD through personalised coaching, and I work to AQA, Edexcel and OCR specifications at secondary level.
02 — Modules taught
33 modules across five levels.
6 of them sit on the AI and machine learning track — applied AI, data mining, computer vision, deep learning and generative NLP.
Fundamentals of Data RepresentationL3Basics of Programming and TechniquesL3Computer Science FundamentalsL4Maths for ComputingL4Computing InfrastructureL4Object Oriented ProgrammingL4Relational DatabasesL4Computer SystemsL4Fundamentals of AlgorithmsL4Impacts of Digital TechnologyL4Advanced ProgrammingL5Data Structures and AlgorithmsL5Applied Software EngineeringL5Systems Analysis and DesignL5Object-Oriented Analysis and DesignL5Cloud TechnologiesL5Agile ProgrammingL6Applied Machine LearningL6Software Quality ManagementL6Computer GraphicsL6Research and Professional IssuesL6Operations ManagementL6Undergraduate ProjectL6Applied Artificial IntelligenceL7Data Mining and Machine LearningL7Computer Vision and Deep LearningL7NLP and GenAIL7Data Analysis and VisualisationL7Professional PracticeL7Advanced Software DevelopmentL7Contemporary Software Engineering PracticesL7Research MethodsL7Dissertation SupervisionL6/7
03 — Supervision
Six named dissertations, 20+ group projects.
M
Designing and Evaluating Explainable AI-Based Assessment Systems to Improve Transparency and Student Trust in Higher Education
MD Tasdik · Regent College London · MSc Software Engineering
K
Personalised Mental Health Chatbot Using AI and Sentiment Analysis
Kittu Katariya · Regent College London · MSc Software Engineering
P
AI Caption Generator for Instagram and TikTok
Prajwal Poudel · Regent College London · MSc Software Engineering
Z
Development of a Machine Learning Framework for Mental Health Sentiment Analysis in Social Media Posts
Zakariya Baidi Mabrouk · Regent College London · BSc Software Engineering
S
An Intelligent Fake News Detection System Using Perceptual Hashing and Logistic Regression on Blockchain
Syed Abdullah · University of Narowal · BCS
A
Side-Channel Analysis Using Differential Power Analysis on Raspberry Pi
Abdullah Butt · University of Narowal · BCS
Alongside these, 20+ postgraduates supervised on group projects in applied AI and computing.
Based in London, United Kingdom. Open to AI/ML engineering work through Twelvetech, research collaboration, guest lectures, external examining and peer review.
Available for AI/ML engineering, research & collaboration
Regent College LondonLevels 3–7