RAG System with LlamaIndex, Elasticsearch & Llama3
A deep dive into building a local-first retrieval-augmented generation system for document Q&A.
Product & Systems Work
Projects & Case Studies
Here you'll find the shipped work: deployed LLM applications, production-ready data systems, and exploratory builds that pushed an idea far enough to learn something concrete.
Each case study explains the problem, the solution architecture, and the lessons that shaped the next iteration — with links to repos or write-ups when you want to dig deeper.
Project catalog
Filter by tooling, topic, or impact to jump straight to the examples that match your roadmap.
LoRA and DoRA Implementation
I implemented LoRA and DoRA from scratch in PyTorch to understand the methods end to end.
Large Language Models with MLX
I explored chat tooling on Apple Silicon using MLX to understand the runtime and packaging story.
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Build principles
- Design feedback loops into every deployment so models keep learning from production signals.
- Favor simple scaffolding with strong observability over complex stacks that hide failure modes.
- Ship concise documentation with each release to make handoffs and iterations painless.