Gursal Prathamesh

Built scalable frontend components and backend APIs supporting production-grade application features. Implemented RAG pipeline using vector embeddings, improving retrieval accuracy across 50k+ documents. Engineered real-time data scraping pipeline reducing manual data collection time by 80%. Built 30+ web scrapers and crawlers to fetch real-time data from multiple sources, improving data availability and system reliability. Designed GenAI web-search workflows integrating OpenAI and Gemini models to automate legal research across multiple sources, improving information retrieval efficiency.

Built 3+ web applications and browser extensions supporting real-time user workflows and feature delivery. Built an ML-based image recognition system achieving 95% classification accuracy and a custom AI chatbot, automating 75% of real-time user queries. Integrated Clerk auth and Razorpay payment gateway to enable secure user login and online transactions.

Delivered 10+ contributions across open-source AI and developer tools projects, including UI enhancements, bug fixes, and feature implementations improving system usability and stability. Resolved production issues and implemented new features across multiple repositories, improving application reliability and user experience.