Delhi, India
Software Engineer at Hilabs and IIT Delhi graduate with experience building scalable backend systems and distributed infrastructure. At Hilabs, I work on backend platforms using FastAPI, PostgreSQL, Redis, AWS SQS, Kubernetes and Airflow, building systems involving distributed rate limiting, queue-based processing, concurrency control and fault-tolerant workflows. My work primarily focuses on backend architecture, scalable APIs and distributed systems engineering. Previously, I worked on projects involving large-scale simulations, CUDA-based parallel computing and full-stack application development. Interested in backend engineering, distributed systems, infrastructure/platform engineering and scalable system design. Technical Skills: Python, Java, C++, FastAPI, PostgreSQL, Redis, AWS, Docker, Kubernetes, Airflow, Distributed Systems Solved 500+ DSA problems across LeetCode, Codeforces and GeeksforGeeks. Codeforces Max Rating: 1655.
- Built and scaled a distributed robocalling backend handling 10K+ calls/day using FastAPI, PostgreSQL, Redis, and AWS SQS - Implemented a queue-based architecture (DB → SQS → consumers) with batching and worker routing for efficient processing - Implemented distributed rate limiting and concurrency control using Redis, enabling stable call throughput of 5 CPS - Developed fault-tolerant workflows with retries, exponential backoff, visibility timeouts, and idempotent updates for long-running tasks - Automated data pipelines using Airflow on AWS (S3, EMR) with parameterized DAGs, reducing manual intervention
Designed and populated relational SQL databases with normalized schemas to support testing and integration. Generated and refined datasets for SFT and RLHF pipelines, ensuring high-quality inputs for LLM training and evaluation. Benchmarked 5+ models and ranked outputs using structured evaluation metrics to drive quality improvements.
Built an agent-based flood evacuation model using Python, MESA and NumPy to simulate human and hazard dynamics. Automated Sobol sensitivity analysis using SALib and Pandas to tune 10+ parameters, log experiment results efficiently. Developed simulation dashboards and refactored code into modular OOP design, improving scalability and performance.
-Successfully orchestrated Hindi Kavi Sammelan, showcasing renowned poets and engaging1500+ audiences during the event -Managed deco work with a team of 25 members, ideated and successfully implemented different ideas for the fest