• Developed a custom Large Language Model (LLM) from scratch using llama3 and integrated it with a user interface created using Streamlit, utilizing dependencies such as langchain, SQLAlchemy, and transformers to enhance functionality and performance.• Engineered a robust data processing pipeline for training the LLM with JSON, SQLite, and Excel formats, employing pandas, openpyxl, and pysqlite3 to ensure accurate data ingestion and transformation.• Collaborated closely with a lead engineer to optimize the LLM’s performance, using tools like sentence-transformers for embedding, grpcio for communication, and fastapi for building APIs, resulting in significant improvements in response accuracy and efficiency.

• Spearheaded the optimization of healthcare information exchange between insurance companies and patients by managing the AI system ’EVA’, showcasing my ability to apply computer science principles in real-world applications, enhancing data accuracy and operational efficiency• Demonstrated exceptional problem-solving skills and technical acumen by seamlessly transitioning between AI and manual operations, ensuring the integrity of patient data in a high-stakes environment, thus contributing to the advancement of healthcare technology solutions