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Machine Learning Software Engineer@Intel
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI researcher and systems architect with 20+ years of experience spanning large-scale AI infrastructure, model training/post-training, inference acceleration, and efficient AI algorithms. Proven track record of leading 0-to-1 initiatives across data, systems, and algorithms, including peta-scale GPU clusters, scalable LLM training frameworks, compiler-based inference acceleration, and state-of-the-art model optimization methods. Expertise includes distributed training, LLM post-training, distillation, pruning, CUDA/Triton kernel optimization, and heterogeneous deployment across CPUs, GPUs, and specialized accelerators. Published 40+ papers in top-tier venues (CVPR, NeurIPS, ACL, ECCV, ACM-ICS) and led cross-functional AI research teams across the U.S. and China.
University of Hawaii at Manoa
Ph.D
January 1, 2003 – January 1, 2007
Hefei University of Technology
Master, Electrical Engineering(Intelligence Control and Pattern Recognition)
January 1, 2000 – January 1, 2003
Intel Corporation
Machine Learning Software Engineer
October 1, 2021 – Present
Santa Clara, CA · On-site
Kwai Inc.
Principal Research Scientist
May 1, 2019 – October 1, 2021
Palo Alto, CA · Hybrid
Petuum, Inc.
Sr. Software Engineer-Computer Vision
November 1, 2018 – April 1, 2019
Sunnyvale, CA
Midea Group (Fortune Global 500 Company)
Staff AI Engineer & Sr. Manager of AI Platfrom
April 1, 2017 – November 1, 2018
San Francisco Bay Area
Midea Group (Fortune Global 500 Company)
Sr. AI Engineer
September 1, 2016 – March 1, 2017
San Francisco Bay Area
NovuMind
Principal Engineer
September 1, 2015 – August 1, 2016
San Francisco Bay Area
Hermes Microvision Inc
Senior Software Engineer of Image Processing Group
December 1, 2012 – August 1, 2015
San Francisco Bay Area
Konica Minolta
Imaging Scientist
December 1, 2011 – August 1, 2012
San Mateo,CA
Massachusetts General Hospital/Harvard Medical School
Assistant Computer Scientist/Instructor(Research Faculty)
October 1, 2010 – September 1, 2011
Farichild Imaging
Video Engineer (Contractor)
April 1, 2009 – March 1, 2010
University of California, San Francisco
Postdoc at Department of Radiology and Biomedical Imaging
March 1, 2008 – July 1, 2009
NVIDIA
INTERN
November 1, 2007 – March 1, 2008
Cultural Fit Analysis
The candidate has a diverse background working in large corporations (Intel, Midea), research-focused companies (Kwai, Petuum), and academic/medical institutions. This breadth of experience suggests adaptability to different organizational cultures. Their involvement in cutting-edge AI research and development aligns with an innovative and growth-oriented environment. However, the target role is 'Data Analyst', which is a significant shift from their primary experience as a Machine Learning Software Engineer and Research Scientist. While they possess strong analytical skills, the direct alignment with typical data analyst responsibilities (e.g., dashboarding, business intelligence, specific SQL/BI tool proficiency) is not explicitly detailed in their resume, potentially indicating a mismatch for a pure data analyst role.
Soft Skills & Operational Fit
The candidate's extensive experience in leading projects and coordinating with various technical teams (Nvidia, Intel, ARM) suggests strong leadership, collaboration, and problem-solving skills. Their work on efficient AI and model optimization indicates a practical, results-oriented approach. However, without specific psychometric or communication test results, a definitive assessment of soft skills and operational fit is limited.