CAREER
Not a résumé. A timeline of the work, wins, and learnings that shaped me along the way.
building the internal platform that validates distributed networking hardware operating at up to 1.6 Tbps. Design and ship Python-based backend services and REST APIs consumed by Jenkins CI/CD pipelines to automate firmware and system-build validation across multiple hardware variants — reducing manual testing effort by ~40–50%. Developed AI-assisted failure triaging workflows: an agentic system (LangChain/LangGraph) that ingests raw test failures, clusters root causes using LLM reasoning, and delivers structured debugging summaries — compressing triage time from hours to minutes. Architected Grafana dashboards surfacing build-execution trends, test stability signals, and platform-health KPIs for engineering leadership.
Research Assistant at IIIT Delhi's Complex Systems Lab, building backend systems and data APIs for large-scale food, nutrition, and health knowledge bases. FlavorDB — APIs for 934 natural ingredients and their flavour-molecule compositions. RecipeDB — data pipelines and querying layer for 118,000+ recipes spanning 26 global regions. DietRx — backend linking dietary ingredients to clinical therapeutic evidence.
Four years of end-to-end ownership across backend, APIs, database design, and cloud deployment for startups and enterprise clients. Delivered production-grade Python and Ruby on Rails systems serving 50,000+ active users. Built automation-heavy APIs that eliminated ~95% of manual processing effort for clients. Managed full deployment pipelines on GCP and Heroku.