Architected an AI-powered platform with custom agents and LangChain tools to predict drug compound structures and properties, allowing chemists to suggest molecule modifications using natural language
Built a Django REST backend that enabled users to access AI chemistry models and LLM reasoning for pharmaceutical drug discovery
Developed a molecule editor and ranking system leveraging React.js, Redux & Postgres to support multi- session compound optimizations
Implemented a RAG system to retrieve and integrate relevant research papers into LLM workflows, enhancing contextual reasoning