Lead AI Engineer · London

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Project workshop Case studies

Selected work

Work

A selection of engagements and systems across enterprise AI assistants, GraphRAG platforms and applied research. Client names and commercially sensitive detail are anonymised; each case study covers the problem, my role, the approach and what was learned.

Education platform

Education platform — GraphRAG for complex learning content

Led delivery of a GraphRAG and document-intelligence platform that turns complex, unstructured learning content into connected, searchable knowledge.

  • Neo4j
  • GraphRAG
  • Docling and document processing
  • Entity and relationship extraction
  • Azure migration
  • Retrieval quality and citation accuracy

Each engagement is different, but the shape of the work is consistent: understand the business problem, pressure-test the data, design the smallest reliable system, instrument everything, and agree how success will be measured before the first model is chosen.

GitHub · 13 curated repositories

Open source & builds

Agents, GraphRAG experiments, reinforcement learning for RAN and automation tooling — all public on GitHub.

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AI & agents

Regshift Python

Conduct-style change assurance layer with LangGraph orchestration and policy governance.

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NTTDATA Python

Production-shaped ACL GraphRAG interview demo (NTT DATA Option 1).

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editdna-rank-studio Python

AI reference-based ranking video generation platform — Tech Europe hackathon build.

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edumate TypeScript

AG-UI hackathon project — an AI study companion (edumate).

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PensionOS Python

PensionOS — Python build exploring pension domain workflows.

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ML & RL research

Carrier-ON-OFF Python

DQN agent that switches 5G cells on and off, using energy efficiency as the reward signal.

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ASM-PPO-RL-Agent Python

PPO (actor-critic) reinforcement-learning agent for Advanced Sleep Mode in RAN.

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DL-on-3D-mesh Jupyter Notebook

Deep learning on 3D meshes — research notebooks and models.

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ai-cnn-yolo7 Jupyter Notebook

CNN / YOLOv7 computer-vision experiments.

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processing-3d-Datasets Jupyter Notebook

Pre-processing and decimation pipelines for 3D datasets.

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ML-basics Jupyter Notebook

Foundations of machine learning on numerical datasets.

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Automation & platform

Automationv2 Python

Report-processing automation built for Freshwave.

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