Summary
Prashant Singh is a Senior AI Engineer with 11 years of experience building production-grade deep learning and computer vision systems that address real-world social and healthcare challenges. He has delivered end-to-end solutions—from OCR and face-recognition attendance systems to multi-agent LLM workflows and MLOps platforms—using Python, TensorFlow, PyTorch, Azure and AWS. His research-to-impact work includes a childhood malnutrition detection system and a skin cancer model that placed 3rd on the ISIC 2018 leaderboard, and he boosted a child height prediction pipeline from 52% to 72% through inventive point-cloud and depth-map modeling. Comfortable architecting enterprise Model Context Protocols and agentic AI with LangChain/LangGraph, he blends hands-on modeling with scalable orchestration and DevOps automation. Based in New Delhi, he has a TUM master’s in Informatics and a track record of guiding startups and NGOs to deploy AI that measurably improves outcomes. Notably, he pairs clinical-impact projects with conversational and automated calling assistants, showing a rare mix of healthcare ML and practical conversational AI deployment.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Technology (B.Tech.) Computer Science, Bachelor of Technology (B.Tech.) Computer Science at SRM University
ChatGPT Prompt Engineering for Developers, ChatGPT Prompt Engineering for Developers at Coursera
Master’s Degree Informatics, Master’s Degree Informatics at Technical University of Munich
English, German