About
Building and learning in public.
Hi, I'm an AI/ML engineer passionate about turning research into production systems. This site is my digital lab notebook — a place where I document experiments, learnings, and discoveries as I explore the rapidly evolving AI landscape.
I believe in learning in public: sharing not just the polished results, but the messy process of figuring things out. Each post includes a confidence level — from early seedling ideas to battle-tested evergreen knowledge — because being transparent about certainty is part of good science.
My focus areas span LLM engineering, AI agents, RAG systems, and the infrastructure that makes AI work in production. I'm particularly interested in the gap between research papers and real-world systems — the implementation details that papers often skip.
Focus Areas
LLM Engineering
Prompting, fine-tuning, evaluation, and production deployment
AI Agents
Autonomous agents, tool use, and multi-agent systems
RAG Systems
Retrieval, embeddings, vector databases, and chunking strategies
AI Infrastructure
Serving, scaling, cost optimization, and observability
Learning Philosophy
- 1.Show work in progress, not just polished results
- 2.Update posts as understanding evolves
- 3.Link to sources and prior art generously
- 4.Admit when you're wrong or uncertain
- 5.Make it reproducible when possible
Connect
Have feedback, questions, or want to collaborate? Reach out on any of these platforms.