Summary
Ashish Agre is an AI/ML and automation engineer with 12 years of software experience, currently focused on Python-driven backend and generative AI solutions. He has built RAG pipelines for document and video understanding using LangChain, Whisper and ChromaDB, blending NLP, vector databases and automation to enable intelligent QA workflows. At Capgemini he combined development and testing skills to ship robust automation, and he now continues to expand AI/ML work at XLNC Technologies. Comfortable across mobile and server domains, he leverages a B.Tech from Savitribai Phule Pune University to turn prototypes into scalable systems. Based in Vasai-Virar, he is actively pursuing roles in backend development, generative and agentic AI, and RAG implementations across Mumbai/Pune or remote. Notably, his profile reflects a practical focus on integrating AI components into production-grade automation rather than only experimental models.
12 years of coding experience
b.tech, b.tech at Savitribai Phule Pune University