Machine learning engineer working on AI automation and applied ML. I build multi-agent LLM systems, the APIs around them, and computer vision and prediction models, from training through to deployment.
Currently AI/ML Engineer at Inookey (Birmingham, UK · remote), building agent workflows, n8n automations and an internal AI assistant.
- LLM agents & automation: LangGraph multi-agent systems, tool calling, MCP servers, n8n workflows
- Backends for AI apps: FastAPI, WebSockets, OAuth 2.0 / PKCE, JWT, CI/CD on Render
- Computer vision: object detection with YOLOv5 and R-CNN for industrial defect inspection
- Healthcare ML: sequence models (LSTM/GRU) and gradient boosting for patient risk prediction
| Project | What it is | Stack |
|---|---|---|
| langgraph-inbox-agent | Supervisor-routed multi-agent assistant for Gmail & Google Calendar, with live agent trace over WebSockets, Google OAuth (PKCE) and encrypted token storage | LangGraph · LLaMA 3.3 70B · FastAPI |
| mcp-social-tools | MCP server that gives LLM agents YouTube & Instagram analytics: engagement rates, outlier detection, Shorts/Reels vs long-form | MCP · httpx · YouTube & Graph APIs |
- AI/ML Engineer, Inookey · Nov 2025 – present
- Data Science & ML Engineer, MR Allianz · Jan – Nov 2025: CV models for LED display damage detection
- Data Science & ML Engineer, Veersa Technologies · Aug 2024 – Jan 2025: drug-adherence prediction
- Research Intern, University of Wolverhampton · Jun – Jul 2023: diabetes risk modelling
B.Tech Computer Science, Maharaja Surajmal Institute of Technology (CGPA 9.23/10)
Python SQL JavaScript · LangGraph n8n FastAPI · TensorFlow scikit-learn OpenCV YOLOv5 · pandas MySQL · Docker Render Git