Designing and shipping large language model systems that hold up under real production load — not demos.
Multi-step, tool-using agent architectures — orchestration, memory, and the guardrails that keep them reliable.
Vector and graph-based retrieval systems tuned for accuracy, grounded in your data, not generic chunking defaults.
End-to-end build — FastAPI/Python backends, modern frontends, and the infrastructure that ties it together.
Tick-store architecture, time-series analytics, and the q expertise that's increasingly hard to find.