Personal platform
My personal engineering notebook
This is my personal website — a place to showcase the journey, the skills, and the craft behind production systems. You’ll find technical blogs, architecture stories, lessons from building Agentic RAG and high-throughput Python backends, and the notes I wish I’d had earlier. Part portfolio, part workshop log, written for engineers who care how things actually behave under load.
Hover the helix — each base zooms into focus
An agent that can plan, call tools, and loop is easy to demo. An agent you can operate is a different artefact. Operable means: when it fails, you know which tool, which state, which prompt version, and whether a human should have been in…
The demo is easy: chunk a folder, embed it, ask a question, get a cited answer. The production problem is different. Enterprise knowledge is not a snapshot. Contracts get revised, runbooks drift, tickets close, wikis fork. If retrieval is…
Focus
Problems I am actively exploring — where models, agents, and graphs meet production constraints.
Task-specialised models that stay cheap, private, and deployable on real infrastructure — distillation, routing, and evaluation.
Agents that improve from feedback loops: tool use, memory, critique, and guarded online adaptation without drifting off-policy.
Knowledge graphs, hybrid retrieval, and graph-native planning for multi-hop reasoning over enterprise corpora.
Multi-agent retrieval stacks with continuous refresh, reranking, and faithfulness checks under terabyte-scale corpora.