Google Summer of Code 2025 @ CERN-HSF | B.Tech Computer Science @ SRM University
I’m a Computer Science Major with a curiosity for how software really works. I explore systems, understand their design, and find ways to make them a little better.
My expereicne ( still emerging ) I have learned that good engineering comes from curiosity, clarity, and consistency — and I’m here to keep learning and building along the way.
For me, it's about the challenge of making things efficient, resilient, and fundamentally well-engineered.
Here are a few of the challenges I've enjoyed tackling and the ideas from which they originated.
Fascinated by how data is stored and retrieved efficiently, I engineered a custom time-series database from scratch in C++. By implementing custom compression (Delta-of-Delta/XOR) and a cache-aware storage layout, I was able to cut storage requirements by 50% and deliver p99 read latencies of under 1.3ms on hot data.
To explore high-concurrency systems, I designed a distributed cache using Python, asyncio, and gRPC. The challenge was ensuring both speed and reliability. The final system was benchmarked to handle 17,000 ops/sec and used consistent hashing and replication to guarantee zero data loss during simulated node failures.
During my time with Google Summer of Code at CERN, I tackled the unique problem of benchmarking quantum vs. classical computing algorithms. I architected a cross-platform Python framework to automate a complex 4-stage workflow, processing over 25 million data points from physics simulations to generate final analysis reports.
- Core Languages: C++, Python, SQL
- Systems & Backend: Docker, Kubernetes, gRPC, FastAPI, Redis, Kafka
- Cloud & Infrastructure: AWS, GCP, GitHub Actions
- Data & Performance: PyTorch, CUDA, Pandas, Scikit-learn
Always open to collaborating on challenging problems in systems engineering and performance optimization.
