Prateek Upadhyay

WORK HISTORY

EDUCATION

ABOUT PRATEEK UPADHYAY

I’m an innovation-driven Machine Learning Engineer with over 6 years of experience specializing in building intelligent systems at scale — with deep expertise in Generative AI, Agentic AI, Computer Vision, Natural Language Processing (NLP), and ML/LLMOps.Currently at Tata Motors, I’m contributing to enterprise-wide AI initiatives — designing, deploying, and optimizing next-gen AI applications that combine large language models (LLMs) with robust MLOps/LLMOps pipelines. My work focuses on building scalable, secure, and responsible AI systems across both cloud and edge environments. What I focus on:Generative & Agentic AI: Crafting intelligent agents and LLM-powered workflows using RAG, planning, and multi-agent design patternsComputer Vision & NLP: Delivering deep learning models that enable advanced perception and language understandingMLOps & LLMOps: End-to-end operationalization using Kubernetes, Kubeflow, MLflow across GCP, AWS, and AzureEdge AI: Accelerating real-time AI on Raspberry Pi, NVIDIA Jetson, and ESP32Previously at Quantiphi, I was part of the Applied AI core team, leading the development of impactful computer vision and MLOps solutions across diverse verticals.🧠 What drives me:Building enterprise-grade Generative AI systems that are explainable, scalable, and impactfulAdvancing Agentic AI for autonomous decision-making and task executionEngineering robust AI platforms that seamlessly bridge research and productionLet’s connect if you\'re exploring the future of LLMs, GenAI, vision-language models, or scalable AI infrastructure for real-world impact.