Founding EngineerTunableLabs, LLC

• •Led the development of a Legal-AI RAG system with support, using multi-tenant support in Weaviate as the vector database. Added real-time web search features with Tavily and EXA APIs to fetch accurate information. Built AWS S3 integration to handle user document uploads and storage efficiently. Created a pipeline using Unstructured.io to read and break down different types of legal documents into useful sections.
• •Architected multi-agent workflows using LangGraph (won internal hackathon worth $200), including dynamic entity extraction and schema mapping
• •Developed secure user access with Supabase Auth integrated into a Next.js frontend
• •Migrated an AI system from Gradio to FastAPI and NextJs that supports both local and API-based LLMs (OpenAI, Azure, Ollama, Groq), with a hybrid RAG pipeline using vector + full-text search and re-ranking for better results. Added multi-modal QA on documents with text, tables, and images, plus in-browser PDF viewer with citation highlights, relevance scores, and low-confidence warnings. Supported complex questions using breakdown methods and agent-based reasoning (ReAct, ReWOO). Made core retrieval and generation settings.