Aditee Ambulkar

I’m an AI/GenAI Engineer with 2+ years of experience at Capgemini, working on enterprise AI solutions for real-world business use cases. My main areas of interest are Generative AI, LLMs, RAG, Agentic AI, and conversational AI.

I have hands-on experience with Python, Gemini, Google ADK, Vertex AI, BigQuery, GCP, LangChain, LangGraph, REST APIs, Docker, and Cloud Run. I have worked on production AI applications involving multi-agent systems, agent orchestration, tool calling, RAG pipelines, embeddings, vector/hybrid search, prompt engineering, and LLM evaluation.

One of my key projects was a multi-agent conversational analytics platform that used LLMs to analyze conversational data across 18+ business domains and generate actionable insights. I also worked on a conversational AI solution supporting voice and chat-based customer interactions.

I enjoy solving practical problems using AI and building solutions that are reliable, scalable, and useful in real business environments. I’m currently looking for opportunities where I can work more deeply on Agentic AI, Generative AI, LLM applications, and AI engineering while continuing to grow my skills and take on more ownership.