Building toward ML systems, AI agents, and the infrastructure that scales them. Currently going deep on Rust and Go.
- Machine learning - training, inference, evaluation
- AI agents - tool use, planning, multi-agent orchestration
- System design - distributed systems, low-latency services, data pipelines
- Languages - Rust and Go for the systems layer, Python for ML work
- Studying the internals of inference engines and modern agent frameworks
- Reading papers on RAG, tool use, planning, and long-context evaluation
- Open to collaboration on agent infrastructure and ML systems work
