Project Description:Led the development of InpharmD's AI Assistant, a cutting-edge system for clinical inquiries. Employing Large Language Models, Pinecone vector database, and GPU acceleration, the project seamlessly processes inquiries, generates researchable sub-questions, and conducts a semantic search. The resolution process involves AI-driven summary generation and meticulous pharmacist review, ensuring alignment with clinician inquiries. Responses, a fusion of AI-generated content and Reinforcement Learning from Human Feedback, are aggregated from diverse clinical literature components. The innovative AI search tool, alongside RLHF, refines queries for precision, while AI-driven summarization parsing delivers tailored, data-driven responses.Responsibilities:Involved in the discussions with clients and understanding the business requirements.Developed User Interface using Next JS.Develop AI fine tuning engine to process user inquiries using own LLM and Hugging face datasets.Processed 30 million PDF literature documents and created 2 Billion embedding into Pinecone.Built Angular Interface for search inquiries.Utilized Rust for the fine tuning process for its own LLM.Developed Co Researcher AI agent using AI models to automate answering questions.Actively engaged in application development on the server side with Python and Flask, handling aspects of extracted data from PDF documents.Developed documents storage for user documents using Active Storage.Developed APIs for extracting the data from PDF documents using Ruby.Developed API for Q&A using Open AI GPT4 engine.Implemented Front End components using React and Turbo streams.Participated in code reviews and generated Next JS, React JS, and Ruby standard coding guidelines.Worked across the entire web development stack, from the user interface to the server-side applicationsand databases, providing end-to-end solution delivery.

Developing end-to-end AI web applications using modern web frameworks like Rails, Flask, NextJS, and tailwind CSSDeveloping end-to-end AI web applications using modern web frameworks like Rails, Flask, NextJS, and tailwind CSS

Working on Rails for developing the Health care provider app.