Yash S.

𝐘𝐨𝐮𝐫 𝐀𝐈 𝐒𝐚𝐚𝐒 𝐬𝐡𝐨𝐮𝐥𝐝𝐧'𝐭 𝐠𝐞𝐭 𝐬𝐭𝐮𝐜𝐤 𝐢𝐧 𝐩𝐫𝐨𝐭𝐨𝐭𝐲𝐩𝐞 𝐡𝐞𝐥𝐥. 𝐈 𝐬𝐨𝐥𝐯𝐞 𝐛𝐚𝐜𝐤𝐞𝐧𝐝, 𝐑𝐀𝐆, 𝐋𝐋𝐌 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬, 𝐚𝐧𝐝 𝐩𝐫𝐨𝐝𝐮𝐜𝐭 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 𝐧𝐞𝐞𝐝𝐞𝐝 𝐭𝐨 𝐦𝐚𝐤𝐞 𝐢𝐭 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐫𝐞𝐚𝐝𝐲! Full-stack Python/React developer building AI-powered SaaS products with production LLM and RAG integration. DecoverAI (RAG legal search) raised $2M after launch. Speakology (AI SaaS) is used by Yale, Tulane, 600+ schools. 100% JSS, 8+ yrs. I build full-stack products end to end: Python/FastAPI/Django on the backend, React/Next.js on the frontend, and AI/LLM integration native to the product using OpenAI, LangChain, and RAG. Not a bolt-on, not a prototype. Production-grade, AWS-deployed, and built to stay live. WHAT I BUILD 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗪𝗲𝗯 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 - React/Next.js/TypeScript frontend: dashboards, SaaS UIs, customer portals - Python FastAPI/Django backend: REST APIs, GraphQL, microservices - Multi-tenant SaaS platforms and MVPs built to scale - AWS: Lambda, EC2, S3, RDS, API Gateway 𝗔𝗜, 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 - RAG pipelines over documents, PDFs, knowledge bases, and enterprise data - Chatbot development and AI agents using LangChain: multi-step workflows, tool use, memory, decision logic - OpenAI API integration: chat, semantic search, classification, automation - Vector databases: Pinecone, pgvector, ChromaDB 𝗣𝗥𝗢𝗩𝗘𝗡 𝗣𝗥𝗢𝗗𝗨𝗖𝗧𝗜𝗢𝗡 𝗪𝗢𝗥𝗞 : - DecoverAI: Python + React + RAG legal document search, deployed in US law firms. Company raised $2M seed funding after launch. - Speakology: React/Next.js + OpenAI voice AI. Used by Yale, Tulane, and 600+ schools, 12K+ students. - Water Advisor AI: AWS Lambda + Python. CCR parsing, lead scoring, email automation. - 8 more production apps shipped across fintech, healthcare, e-commerce, and education. Tell me what you're building. I respond within hours.