Aditya Raghavendra Auradker
Sr Hardware Engineering Program Manager - Product Data Management, Microsoft Azure Cloud PLM | AI Agents| Supply Chain|
- Role
- Senior Hardware Engineering Program Manager at Microsoft
- Location
- Redmond, WA, US
- LinkedIn followers
- 500 followers
About Aditya Raghavendra Auradker
Demonstrated history of working in the manufacturing, additive manufacturing, supply chain industry with solutions and applications built using AI and agentic AI. My work as a Hardware program manager in the cloud supply chain industry entails dealing with PLM(product lifecycle management) systems and managing the Azure cloud data.I am a core team member which designed and implemented enterprise scale E2E Automated PLM solution to solve for siloed input data mechanisms and poor data quality leading to cost savings of nearly $0.5Mn/Yr. Along with this, I am a keen practitioner of LEAN and implemented LEAN+AI solution to build a NLP based part recommender system that can optimize supply chain and engineering parameters to build parts/BOM data in a PLM system. I am happy to be pursuing my passion to build exciting solutions to manufacturing and supply chain problems using machine learning, NLP and other technologies that have high value business impact.
Experience
Senior Hardware Engineering Program Manager
Sep 2025 — Present · Redmond, WA, US
Agentic AI - Spearheading Agentic AI adoption and architecture for Azure cloud PLM business teamBuilt agents that save manual repetitive tasks and deliver impact close to $0.5Mn/yrTrain and evangelize AI and Agentic AI across the board in Azure supply chainPLM Transformation - Working actively with the product and engineering team to transform the PLM system to a platform based BOM management and reducing data chasing and silos to deliver impact close to $5Mn/yrNPI Lifecycle Management - Manage Microsoft\'s purpose built liquid cooling infra and GPU servers\' data lifecycle through the PLM system
Education
Texas McCombs School of Business
Postgraduate program in Artificial Intelligence and Machine Learning: Business Applications, Artificial Intelligence
University of Michigan College of Engineering
Master of Engineering - MEng, Global Automotive and Manufacturing Engineering (GAME)
RV College Of Engineering
Bachelor's degree, Mechanical Engineering
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