Developed a semi-automated metadata extraction pipeline for public-domain Indic language books using PDF and scanned document processing workflows. Built structured data cleaning and reconciliation workflows using OpenRefine for Wikibase-compatible metadata construction.

Built an automated, end-to-end CI/CD workflow with automated deployment gates, accelerating release cycles while ensuring production reliability. Deployed a scalable load-balancing layer to support global traffic distribution, improving performance and resilience for international users.

Architected and deployed scalable cloud infrastructure supporting a 25,000-member community with reliable, production-grade performance. Monitored and optimized platform usage at ~500 daily active users and ~7,500 monthly active users, ensuring stability under consistent traffic growth.

Optimized side-channel attack methodology (timing + CPU probing) on AES, achieving a 25% improvement in key-recovery signal efficiency. Collaborated on cryptographic security research, analyzing implementation-level vulnerabilities and recommending mitigation strategies for hardened encryption deployments.

Engineered high-performance HRMS features and optimized backend workflows, achieving ~300ms response latency in production. Worked cross-functionally with frontend teams on Angular state management and modular architecture, accelerating feature delivery and maintainability.

Invited to present my project at the global Wikimedia Hackathon 2026 with a fully funded scholarship.

Guiding 2,500+ student participants in a 36-hour national-level hackathon.

Mentoring contributors in the Wikimedia technical ecosystem; our team achieved the highest impact with 14+ approved open source contributions.

Selected among top 30 students, out of 500 applicants.

Invited to 3-day summit at IIIT Hyderabad.