Dnyanesh Rajpathak

About Dnyanesh Rajpathak

Technical Fellow, AI & Machine Learning | 16+ years driving enterprise-scale, production-grade AI in safety-critical environmentsI lead the development of cutting-edge AI solutions at GM, turning research into trusted, enterprise-grade systems that deliver measurable impact. I drive end-to-end AI programs—from defining business challenges to research to production-ready deployment—covering classical ML, deep learning, and Generative AI/LLM technologies. My work emphasizes AI assurance, robustness, and governance, producing validated, production-grade solutions across structured and unstructured text, telemetry/engineering, and time-series data.I specialize in problem domains where AI must be trusted, explainable, and operationally reliable, including- Safety-critical AI/ML systems in Engineering, Manufacturing, Service, Quality, and Product Safety- Industrial scale production-grade Generative AI and LLM products- Data-driven model validation, monitoring, and lifecycle governance- AI operating under regulatory, operational, and quality constraintsI collaborate with senior leaders across engineering, manufacturing, service, and quality to define AI strategy and translate advanced AI/ML capabilities into measurable enterprise impact via solution development.In addition to leading AI programs, I generate intellectual property, publish peer-reviewed research, and contribute to advancing the field of AI/ML. I supervise and mentor Staff and Senior Data Scientists, as well as Ph.D. researchers, fostering a culture of innovation and rigor. Through these efforts, I help build GM’s internal AI capability while pushing the boundaries of applied AI research in safety-critical and enterprise-grade environments.I am passionate about Principal, Fellow, and Distinguished-level technical leadership roles, focusing on AI/ML, Generative AI, advanced analytics, and large-scale production deployments.

Experience

1. Technical Fellow (Generative Ai Deep Learning Machine Learning)

   General Motors

   Mar 2023 — Present · Warren, MI, US

   Enterprise AI Strategy, Governance & LeadershipDefined and executed GM’s enterprise AI strategy across Generative AI, RAG, and large-scale ML, establishing standards, governance frameworks, and deployment roadmaps for production-grade, safety-critical systems. Accelerated enterprise adoption aligned with business value, regulatory compliance, and risk reduction.• AI-Driven Root Cause Analysis PlatformArchitected and deployed an enterprise AI platform for early anomaly detection and root cause intelligence across service and quality domains, enabling proactive resolution of systemic issues through predictive analytics and cross-domain data fusion.• Generative AI–Powered FMEA SystemLed the design and enterprise deployment of a Generative AI platform automating FMEA across hundreds of subsystems, integrating RAG and contextual LLM reasoning to transform safety compliance, risk mitigation, and engineering velocity.• Predictive Maintenance for Manufacturing – Real-Time AI at ScalePioneered unsupervised generative AI for real-time anomaly detection in critical manufacturing infrastructure, enabling multi-day fault prediction and strengthening operational resilience through scalable AI architectures and advanced signal modeling.• Emerging Issue Detection Engine (Confidential Project)Developed a high-impact AI system for early detection of emerging safety and quality risks using diverse internal and external data sources.(Sensitive program — specifics confidential)• Advanced AI Solutions & Enterprise DeploymentArchitected Contextual RAG systems for automated FMEA creation and knowledge automation; deployed fine-tuned LLM classifiers for safety-critical risk detection across telemetry and unstructured data; served as AI Technical Council advisor, shaping enterprise AI policy, governance, and IP strategy.

Education

• The Open University

  Ph.D., Artificial Intelligence

  2000 — 2004

• Savitribai Phule Pune University

  Bachelor's Degree, Production Engineering

  1992 — 1996

• University of Surrey

  Master's degree (with thesis), Advanced Manufacturing Management and Technology