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I'm a software engineer working at the intersection of distributed systems, low-latency infrastructure, and databases. I like systems that don't break — and when they do, I want to know why in under a millisecond. Most of my work lives at the seams: partitioned storage for spatial queries, TCP-level observability, real-time pipelines, and the kind of perf graphs that make you stay late.
I just finished my MS in Computer Science at Stony Brook with a focus on distributed systems, algorithms, databases, and operating systems. Before that, I built and shipped at scale across research labs, a hardware-software cluster team, and a stint at Nokia.
| Degree | Institution | Years | GPA |
|---|---|---|---|
| M.S. Computer Science Distributed Systems · Algorithms · Databases · OS |
Stony Brook University | 2023 — 2025 | 3.60 / 4.00 |
| B.Tech. Computer Science Engineering | Vellore Institute of Technology, Chennai | 2018 — 2022 | 3.90 / 4.00 |
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Software Engineer Intern · CUBIT, Stony Brook University · May 2024 — Sep 2025 Built a cluster job-management system that reduced job-submission overhead by 85%. Designed a health dashboard that pulled incident detection from hours to minutes across 17+ research facilities and 9,000+ concurrent users.
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Software Research Assistant · Data Management & Biomedical Analytics Lab, Stony Brook · Aug 2023 — Aug 2025 Optimized PostgreSQL/PostGIS query paths for billion-row spatial data. Brought average query latency down by 40% — work that grew into SpatialPathDB.
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Software Engineering Intern · Nokia, Chennai · Jun 2020 — Nov 2020 Worked on telecom-grade backend services. Got my first taste of latency that actually matters.
| Languages | C++ · Go · Rust · Python · Java · JavaScript / TypeScript |
| Web & APIs | Spring Boot · FastAPI · Node.js · React · Next.js · REST · gRPC · WebSocket |
| Data & Infra | PostgreSQL · PostGIS · Redis · MongoDB · Kafka · Prometheus · Grafana |
| Cloud | AWS · GCP · Docker · Kubernetes |
| Practices | System design · perf optimization · CI/CD · TDD · code review |
- Reduced job-submission overhead by 85% through a redesigned cluster scheduler.
- Cut average query latency by 40% on a billion-row spatial workload.
- Improved cold-cache viewport queries by 9.1× in SpatialPathDB.
- Pulled incident detection from hours → minutes for 9,000+ concurrent users.
- 180 OSS pull requests merged across 152 repositories.
When I'm not shipping code: thriller films, rock climbing, and walking new cities until the map is just a memory. Books on systems and history. The occasional perf graph that won't let me sleep.
Open to building hard systems with thoughtful people. · Let's talk →