At Medzae, I launched a 7-module platform for 500+ medical students and doctors, including real-time chat and events. I architected its stack with Next.js, TypeScript, Express, Prisma, PostgreSQL, and Socket.IO, and deployed it via Docker.
I also grew event coverage to 103 listings by evaluating 12 public APIs and fixing a filter bug that hid Indian events. I shipped an AI notebook that converts medical PDFs into structured notes, improving study efficiency by 40%.
At Tech Ahir Private Limited, I was promoted from intern to full-time Software Developer in 6 months by owning core SaaS modules. I designed reusable React component libraries and PostgreSQL schemas, raising team delivery speed by 35%.
Earlier, I modernized a legacy SaaS platform with a 5-member Agile team, delivering more than 80% of the rebuild in 3 months. As an AI/ML & Data Analytics Intern with Shell India & Edunet Foundation, I developed EcoVision, an e-waste classifier, and trained CNN models paired with LLM classification to achieve 90%+ detection accuracy on 500+ images.
