Software Engineer | Distributed Systems | Backend | ML Systems
IIIT Allahabad (ECE) •
Software Developer Intern — GWING
- Designed Azure-based data pipelines → +34% efficiency
- Improved data consistency → +82%
- Optimized data flows using Azure Data Factory
Software Intern — II-SDGs
- Refactored React architecture → +25% performance
- Resolved production issues → 98% bug resolution rate
- Reduced redundant API calls → 20%
Real-Time Recommendation Engine
- Distributed architecture (Kafka, Redis, FastAPI)
- Built streaming pipelines + feature stores
- Implemented incremental indexing for real-time updates
- Deployed via Kubernetes with CI/CD
ManuScan AI (GNN + WASM)
- +35% prediction accuracy using Graph Neural Networks
- <100ms inference latency using WebAssembly
- Scaled to 10K+ samples/day
Raiseit (MERN System)
- Role-based system (User/Admin/Officer)
- Reduced unauthorized access by 90%
- Improved latency by 30%
- Handled 1000+ concurrent requests
Languages: C++, JavaScript, Python
Backend: Node.js, Express, FastAPI
Frontend: React, Tailwind
Systems: Kafka, Redis, Docker, Kubernetes
Cloud: Microsoft Azure
Database: MongoDB
- Strong in DSA, Graphs, DP, System Design
- Active on LeetCode & Codeforces
GitHub: https://github.com/genius-0963
LinkedIn: https://linkedin.com/in/saurabh-kumar-6009b51b3/
Build scalable systems.
Optimize for latency.
Measure impact.


