Software Engineer • Data & Full-Stack • Big Data Survivor
MS IT @ Arizona State University
I build systems that scale, recover, and keep their composure under pressure.
I’m a software engineer who lives in the overlap between data engineering, backend systems, and full-stack development.
Right now, I’m working on large-scale data projects, designing systems that are resilient by default, observable in production, and fast without being fragile. I care about reliability, correctness, and performance equally.
If something fails, it should fail gracefully, recover cleanly, and leave logs that actually tell a story.
I enjoy taking complex, high-volume data and turning it into platforms that are boring in production, in the best way possible.
We move fast around here! I work well with humans, and design systems that are efficient, resilient, and emotionally prepared for scale
-
🧱 Resilient data systems
Fault-tolerant pipelines, retries, idempotency, and predictable recovery -
🔍 Data quality & correctness
Validation frameworks, schema enforcement, and early error detection -
🚀 High-performance backend services
Async APIs, caching, and systems that scale without surprises -
📊 End-to-end platforms
Frontend, backend, data, and infra that actually agree with each other -
☁️ Cloud & CI/CD
Shipping reliably, because production should not be exciting
If it’s about scale, structure, or making systems more reliable than yesterday, I’m interested.
-
🏆 Smart India Hackathon 2022 — National Winner
Won first place among 500,000+ competing teams for an ML-powered visibility prediction system tackling real-world aviation safety problems. -
🥇 Best Innovative Project Award — Computer Society of India (2023)
Recognized for building an oil spill detection system using MCAN architecture, selected from 125,000+ projects. -
🎓 Academic Consistency Achievement
Strong academic track record with a 4.0 GPA in my Master’s program at Arizona State University.