Peter Kyungsuk Pyun Email & Phone Number

Dr. Pyun is a founding CDO & SVP of LGES (LG Energy Solution). He is responsible for driving transformation of all business processes of LGES onto data-driven & AI-driven ones. On smart factory, he is driving its efforts on transforming all its global manufacturing facilities into smart factories, to better improve battery manufacturing process. LGES works with global big electric carmakers to provide batteries including Tesla, Volkswagen, Hyundai, General Motors (GM), and Stellantis. A few collaborations are in a form of a joint venture to produce battery cells and modules for electric cars in worldwide. Before LGES, he was a Principal Data Scientist at Nvidia HQ, leading multiple projects as a lead architect on autonomous vehicles, industrial AI, and Cloud AI. He received PhD degree in electrical engineering from Stanford University in Machine Learning and Computer Vision, with multiple top-notch journal papers published on statistical machine-learning based semantic image retrieval and image segmentation. He has 31 US patents and 28 peer-reviewed international publications with +30 invited speeches. Summary of professional experiences:● 20+ years expert in machine learning, research and productization.● 7+ years of AI & deep learning experience at Nvidia and Samsung in vision, speech, and NLP on both cloud and on-prem, datacenter and edge environment.● 10+ years of project management with cross-functional teams of 100+ experts.● Led Cloud AI inference collaboration project with Microsoft Azure AI: Leading Nvidia TensorRT integration of ONNXRuntime, achieving faster inference than TensorFlow and PyTorch. Azure AI service speed improved 3x, adopted to +10 AI platforms including Azure ML, Edge/IoT, Stackhub, and Percept. Results were deployed to millions of devices, and processed billions of AI requests. Successful collaboration led to upcoming strategic GM-level meetings and featured in Jensen Huang’s keynote address.● Led AI automation projects for defect inspection on manufacturing products. Outcome led into full-day technical hands-on labs, publications, and curated real production dataset. MIT adopted it as an AI curriculum. Technology was productized by Nvidia operations team, P&G, Lockheed Martin, Samsung, and Western Digital.● Led live autonomous driving demo of Nvidia CEO’s CES 2017 keynote with Audi. Demonstrated real autonomous driving at Audi Q7 to +200 VIPs at Las Vegas. Successful AV collaboration led to strategic collaboration between Nvidia and Audi and developed into Mercedes-Benz, Toyota, HMC partnership.

Listed skills include Machine Learning, Signal Processing, Pattern Recognition, Image Processing, and 35 others.