Hi! I'm Hirday. I'm a 4th year Computer Science student at the University of California, Los Angeles (currently based in Mumbai). I've previously interned at Stripe and MongoDB. I'm a really strong product engineer with an ability to ask the user the right questions - allowing me to truly solve their problem.
• Worked on a compiler written in C++ to improve Query Execution engine performance by 15-20x
• Implemented $switch, $not, $isNumber and many other expressions in the new execution engine
• Contributed to design documentation and code architecture for modeling logical control flow in the new execution engine
• Added features to PaymentIntents - Stripe’s new default Payment APIs
• Architected & shipped new API parameters using Ruby that reduce card declines by EU regulations, used by Stripe’s largest customers
• Added a MongoDB Model to import Transaction IDs so migrating users don’t need to re-authenticate customers and are more likely to move to Stripe
• Designed a phrase-based Word2Vec NLP model to meaningfully cluster
patient-authored free-form symptom text data by severity
• Implemented a neural network in PyTorch using bag-of-words vectorization and achieved 96.7% test accuracy on generated labels based on the clusters
• Deployed the model using Azure ML Studio to a REST endpoint to automate triage decisions in the booking flow and to schedule visits up to 20x faster