Experience

Joined the team as a founding engineer intern and contributed to building an autonomous AI browser agent using Playwright. Designed core decision-making logic using large language models, developed backend services with FastAPI and Golang, and implemented frontend components using Next.js.

Enhanced AI digital diagnostic solutions using Hybrid RAG and Graph databases for optimized disease ontology retrieval and clinical support. Also developed hospital chatbots to boost patient engagement and lead generation.

Successfully built a MVP for the company through Generative AI integration for an AI Career Co-Pilot using Google Gemini, Milvus Vector Database, Flask and Strapi. Developed efficient Retrieval-Augmented-Generation pipelines using Langchain, embedding models and vector databases to fetch similar career roles based on user profiles. Conducted in-depth research and delivered consultancy on GenAI solutions for the company's core products.

Led the development of Generative AI voice agents for automated sales calling, securing the company's first customer and driving a 30% increase in lead conversions. Built and managed high-performance generative AI pipelines utilizing Langchain, Pinecone and Retrieval-Augmented Generation (RAG), improving data retrieval efficiency. Conducted extensive research, training, and fine-tuning of large language models (LLMs) for specific company use-cases, including Vicuna and LLaMA 2, increasing model accuracy by 40%.