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AI agents, LLM post-training, AI inference optimization | AI Lead at GAZAI | Ex-Amazon, BMW, AMD
AI agents, LLM post-training, and LLM/image-gen/TTS model inference optimization at GAZAI, a generative media AI startup. Making machines smarter, from the chips they run on to the agents they power today. * GAZAI (2025+) - AI agents, LLM post-training, AI model inference optimization * Amazon (2020 - 2024) - Machine learning for large scale recommender systems * BMW (2017 - 2020) - Reinforcement learning and deep learning for autonomous driving * AMD (2009 - 2016) - Semiconductor chip design Personal website and blog: https://www.georgesung.com Other stuff: https://github.com/georgesung https://huggingface.co/georgesung
University of Michigan
Master of Science (M.S.), Electrical Engineering
January 1, 2008 – January 1, 2009
University of Michigan
Bachelor of Science (B.S.), Computer Engineering
January 1, 2005 – January 1, 2008
GAZAI
AI Lead
January 1, 2025 – Present
Taipei City, Taiwan
Amazon
Machine Learning Engineer
March 1, 2020 – December 1, 2024
San Francisco, CA
BMW Group
Machine Learning Engineer
April 1, 2017 – March 1, 2020
Mountain View, CA
Career Break
Career transition
February 1, 2016 – March 1, 2017
Greater Boston
AMD
Senior Engineer
December 1, 2009 – January 1, 2016
Greater Boston Area
University of Michigan
Research Assistant
June 1, 2009 – November 1, 2009
Ann Arbor, MI
NVIDIA
Intern
May 1, 2008 – August 1, 2008
Santa Clara, CA
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for an ML Engineer role, especially in an innovative or product-focused environment. Their diverse experience across large corporations (Amazon, BMW) and a startup (GAZAI) shows adaptability. The career break taken to transition into AI/ML highlights a strong learning mindset and initiative, which aligns well with dynamic tech cultures. The breadth of skills from hardware engineering to advanced AI/ML, coupled with leadership experience, suggests a well-rounded individual capable of contributing to various aspects of a project lifecycle.
Soft Skills & Operational Fit
The candidate's career trajectory, including a successful pivot into AI/ML and leadership roles, suggests strong adaptability, self-motivation, and a proactive approach to skill development. Experience at Amazon and BMW indicates an ability to work in structured, high-performance environments. The AI Lead role at GAZAI implies leadership, strategic thinking, and team development skills. However, without psychometric test results or interview data, specific soft skills like stress handling or team collaboration cannot be definitively assessed.