About me
I’m an ML Engineer passionate about building intelligent systems that work in practice — not just in notebooks.
I work at the intersection of machine learning, LLMs, and data engineering. My focus is on understanding how models actually behave: how they’re trained, fine-tuned, and deployed.
This blog
This is where I document things I learn. Posts range from deep dives into model internals (like normalization in transformers) to practical engineering (like hybrid search with pgvector).
The TILs section captures smaller, sharper insights — the kind of things worth writing down so I don’t forget them.
Interests
- Large language models & fine-tuning
- Vector search & retrieval systems
- Data pipelines & engineering