- Building 14 projects across AI/ML and full stack web apps.- Collaborating in teams to deploy custom neural networks, Voice AI agents, Generative UI components, multimodal RAG pipelines, and recommendation systems.

- Built and deployed 5 AI projects in 5 weeks using React JS, Next.js, Firebase, Clerk, and Vercel, following agile methodologies with weekly sprints and incorporated CI/CD practices for iterative deployment.- Worked in a team of 4 to develop an interactive customer support agent using Next.js, integrated a custom RAG pipeline using OpenAI and Pinecone that responds based on a company's knowledge base.- Collaborated with 3 Fellows to build and deploy a SaaS product that generates dynamic flashcards based on any topic using the Llama 3.1 LLM via the Groq API, integrated a paywall and custom pricing plans using the Stripe API.- Implemented a web scraper that automatically extracts data from Rate my Professor and upsert to a Pinecone index, integrated with a RAG pipeline using LangChain and OpenAI GPT-4o to get up-to-date and relevant answers to user queries.- Scaled each web-app to 200+ users, iterated on user feedback to make continuous optimizations.- Participate in weekly sessions with engineers from Google, Y Combinator, Stanford, Amazon and venture-backed startups.