Recent Projects

Built a backend platform on Node.js, Express & MongoDB supporting collaboration across 15+ repositories with a unified contributor workflow.

Containerized every service with Docker, ensuring 100% deployment consistency and cutting developer onboarding time by 2–5x.

Designed an RBAC layer and optimized MongoDB queries, improving API response performance by ~40% under concurrent contributor load.

Outcome: Improved contributor efficiency, reduced setup friction by ~70%, and established a reusable open-source collaboration framework.

Recognized at national-level events — Runner Up at SIH 2023 and Top 25 at BuzzOnEarth Hackathon, IIT Kanpur.

Developed ML models (Python, scikit-learn) achieving ~92% prediction accuracy on validated clinical datasets.

Deployed real-time inference pipelines with cloud-backed APIs, scaling to handle 100% of test traffic with sub-second response.

Outcome: Validated with real users and pitched to 2 enterprise stakeholders, achieving strong real-world feedback and adoption interest.