Driving product development & operational automation at India's largest EdTech unicorn — from a ₹2Cr+ revenue product to automation pipelines processing lakhs of records.
Ideated and pitched a JEE college-prediction product that is being scaled into Career Wallah. I currently lead its end-to-end development — from product thinking to architecture and shipping. The platform has generated ₹2Cr+ in revenue since launch as a paid product.
Built and scaled lead-capture exam tools — score calculators, rank predictors and counseling platforms — that collect high-intent student data PW never received before, increasing result collection up to 5×. Combined, these tools have been used by 500,000+ students.
Led the migration of the Khazana feature from 1.0 to 2.0, owning the database schema redesign and writing the migration scripts to move 300,000+ records to the new schema — while coordinating rollout across multiple teams.
Designed and built an internal automation portal in Next.js for the creation, maintenance and addition workflow of Khazana, reducing a recurring operational task from 48 hours to 2 hours — a 95%+ improvement in process efficiency.
Built 100+ automation scripts (Node.js, Python) to extract, clean and process 100,000+ student result records across JEE, CBSE, ICSE, state boards and vernacular categories — eliminating repetitive manual workflows during peak examination seasons.
Shipped internal business tools in as little as a day, including a bulk certificate generator (10,000+ certificates generated) and a digital faculty resource planning platform to check faculty availability at one click.
Lead-capture tools I shipped, with real response counts - 90,000+ responses captured across active products.