Rohan Karan

Rohan is a results-driven Senior Software Engineer currently at Lighthouz AI (YC S24), where he leads backend and infrastructure initiatives — migrating core services from Python to Go to boost throughput and reduce memory footprint, re-architecting data persistence from MongoDB to PostgreSQL, and replacing Lambda-based event processing with a Kafka consumer architecture for greater reliability and scalability. He manages production Kubernetes workloads, defines SLOs and alerting with Prometheus and Grafana, and has driven adoption of structured logging and distributed tracing to reduce MTTR. linkedin+2

Rohan builds reliable, scalable systems and developer tooling: he has implemented serverless event-driven workflows, engineered high-performance Flask and FastAPI services, and created AI-focused products such as Pam (an AI procurement chatbot) and a Chatbot Guardrails Arena for benchmarking LLM privacy guardrails. He is an active open-source contributor (projects and PRs across multiple repos) and the author of tools and projects like kubectl-crashloop (a Krew-distributed kubectl plugin) and VaultSafe — a secure password manager. github+2

Outside of product work, Rohan participates in competitive programming and technical learning — 225+ LeetCode problems solved and a top contest rating of 1760 — and he contributes fixes and features to community projects, demonstrating both hands-on systems expertise and a strong commitment to open-source collaboration. leetcode+2