Product-minded engineering
I enjoy software engineering work that connects product needs with frontend, backend, performance, architecture, and long-term maintainability.
I am a software engineer focused on building reliable, high-impact systems across frontend and backend, from user-facing product experiences to caching, resilience, performance, and infrastructure-aware application design.
I enjoy software engineering work that connects product needs with frontend, backend, performance, architecture, and long-term maintainability.
I care about how products behave under real traffic, failure modes, latency budgets, fallbacks, and operational constraints.
I have worked closely with product, design, marketing, customer-facing teams, backend engineers, and platform partners to ship practical solutions.
Selected work
I prefer case studies over a long project gallery: what was the problem, what constraints mattered, what tradeoffs were made, and what improved.
Worked on caching infrastructure for high-volume item page traffic where latency, cache freshness, and upstream dependency behavior directly affected page delivery.
Impact: Improved how pages were served under scale by contributing to caching, streaming, and resilience improvements.
Improved the server-side delivery flow for cached HTML item pages, where requests needed to be served quickly while cache writes and upstream fetches were handled safely.
Impact: Reduced avoidable response delay by allowing HTML to start streaming to the requester while the full payload could still be written to cache in parallel.
Led and contributed to product migration work involving customer-facing reliability, application architecture, UI changes, backend coordination, and cross-functional execution.
Impact: Helped move a delayed, complex product effort forward while balancing reliability fixes, design updates, and delivery risks.
Experience
About
My work sits at the intersection of product engineering and systems thinking. I enjoy understanding user needs, frontend and backend constraints, performance bottlenecks, and operational realities, then building solutions that are useful, maintainable, and measurable.