Mukesh Mithrakumar is a Lead Machine Learning Engineer with 8+ years of experience building and productizing large-scale AI systems across retail and pharmaceutical domains, currently personalizing Kroger’s shopping experience for over 60 million U.S. households. He has a strong track record at IQVIA delivering revenue-driving products—like LLM-powered sales assistants, next-best-action recommenders, and high-accuracy demand forecasters—while scaling MLOps across GCP and AWS using Kubeflow, Vertex AI, and Airflow. As a former founder and hands-on engineer, he has shipped end-to-end solutions from mobile OCR and object detection to research-paper summarization chatbots, combining research-grade models with pragmatic deployment patterns. Mukesh blends technical leadership and mentorship—coordinating cross-functional teams of 50+—with deep tooling expertise (PyTorch, TensorFlow, NVIDIA Merlin, Triton) and a penchant for turning complex data problems into reliable production services. An MS in Computer Science and a physics background underpin his analytical approach, and his GitHub motto, "Fac Optimum, Exitus Obliviscere," hints at a results-focused, high-standards mindset.
8 years of coding experience
9 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Arizona State University
Bachelor of Science - BS Physics, Bachelor of Science - BS Physics at South Dakota State University
Foundation degree Business Administration and Management General, Foundation degree Business Administration and Management General at University College Dublin
High School Diploma Applied Mathematics, High School Diploma Applied Mathematics at Trinity College Kandy
Master of Science - MS Business Management, Master of Science - MS Business Management at University of Illinois Urbana-Champaign
Contributions:30 commits, 29 pushes, 1 branch in 2 years 6 months
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Mukesh Mithrakumar - Lead Machine Learning Engineer at 84.51˚