I’m a backend engineer who enjoys building high-performance systems and solving scaling problems.
I started during my computer science degree where I became very interested in backend architecture and distributed systems. I led the Google Developer Student Club as a DSA and web lead, which helped me build a strong foundation in problem solving and mentoring.
Professionally, I’ve been working as a backend engineer focusing on real-time systems and data pipelines. At BrainAlive AI, I worked on Kafka-based streaming systems, real-time leaderboards, and referral systems that handled thousands of concurrent users.
Currently at ITH Technologies, I design low-latency backend services using Node.js, Redis, and PostgreSQL. For example, I built a 3-tier portfolio snapshot system that reduced API latency to under 5ms and scaled backend services to handle over 1200 requests per second.
What makes me strong as an engineer is that I focus not only on writing code but on designing reliable systems — things like idempotent APIs, distributed job queues, caching strategies, and high-throughput pipelines.
I’m particularly excited about working on large-scale backend infrastructure where performance, correctness, and scalability really matter.
| Period | Title | Company |
|---|---|---|
| july 2025 to Dec 2025 | Software development engineer | Hidden |
| Sep 2024 to Aug 2025 | Software development engineer | Hidden |
There are only two hard problems in computer science: Cache invalidation, naming things, and off-by-one errors.