Vismay builds systems that scale under real traffic. that keep revenue systems reliable. that make AI workflows production-ready. that stay fast, observable, and cost-efficient. that turn data-heavy products into systems. that survive 3 AM on-call incidents. that are owned well after launch.

Backend-heavy full stack engineer for revenue, data, and AI systems.

The work that pulls me in: the systems a product clearly needs, and the unusual things imagination demands.

Most of my time goes to product systems where latency, correctness, and cost all matter — payments, subscriptions, experimentation, search, caching, realtime data, and LLM workflows.

The core strength is turning ambiguous product ideas into production paths: schema, APIs, queues, query plans, rollout controls, metrics, and the operational follow-through that keeps them honest.

That work happens as an IC embedded with platform, product, and data teams — PMs, analysts, QA, fellow engineers — wherever the problem needs both shipping speed and systems discipline.

The habit runs upstream too: 30+ open-source contributions across Redis, DuckDB, ClickHouse, Kafka, React, NumPy, and other systems the industry runs on.

And when the surface matters, the frontend is covered — TypeScript, React, and smaller frameworks. This portfolio is one example.