I enjoy designing and optimizing systems and workflows — the kind of work where small, careful changes compound into large gains. I care about clean abstractions, observability, and software that stays maintainable as it grows.
- System design & optimization — making existing systems faster, simpler, and more resilient.
- Backend engineering — building services and APIs that are predictable and easy to reason about.
- Open source — contributing where I can, and helping others debug tricky issues.
- Deep learning fundamentals: PyTorch, neural networks, and transformers.
- Applying AI to practical engineering problems.
I'm a steady reader of technical books, articles, and blog posts — learning is something I make time for deliberately, not just when a project demands it.
Open to conversations about systems, backend engineering, and open-source collaboration — feel free to reach out via GitHub.
Always happy to talk about systems, learning, or open-source work.