 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

 Developed a Next.js app leveraging LangChain agents and prompt engineering to dynamically generate industry-specific blog content

 Engineered personalized chatbots with Pinecone integration, and React.js chat UI for client websites

 Automated client communication by developing a Flask and LangChain tool that generates progress emails with AI-driven pull request summaries

 Built a TypeScript test automation library of over 200 tests to ensure robust performance of asset management software

 Created automation tools and scripts using knowledge of Cypress and Angular to validate more than 50 tests in 12 minutes

 Maintained daily Jenkins builds and reduced processing time by 30% through identifying and rewriting inefficient tests

 Developed Python automation test scripts using Appium to reduce Android build testing time for QA

 Completed over 250 manual and exploratory tests and logged over 25 bugs in TestRail