Software engineer interested in building thoughtful web products and reliable AI-powered systems.
I enjoy working across product and engineering—from shaping an idea and designing the user flow to building the interface and backend. I care about clear documentation, sensible tradeoffs, and systems that remain understandable when something goes wrong.
build → instrument → observe → evaluate → improve
ai_systems:
- context design and structured outputs
- retrieval, tool use and evaluation
reliability:
- validation, retries and fallbacks
- guardrails and graceful failure states
observability:
- logs, traces and latency
- errors, token usage and cost visibility
product:
- accessible interfaces
- clear user flows and maintainable systemsCurrently learning more about RAG, agent workflows, AI evaluations, system design, and the tradeoffs between latency, quality, cost, and reliability.
