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AI Software Dev. Leader | Platform SW Arch. | Linux Kernel Dev. @ Intel Corporation
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Innovative and results-driven AI Software Developer with extensive experience in leading AI and system optimization projects at Intel. Expertise in building comprehensive AI hardware/software stacks for Intel Xeon platforms, including MKL primitives, quantization algorithms, model performance tuning, and AI framework integration. Adept at Linux kernel development and system debugging, with a proven track record of developing memory compression/decompression optimization for Intel HW accelerator and system debugging for Intel persistent memory productization. Committed to delivering high-performance solutions and driving technological advancements in AI and system architecture.
Peking University
Master, Computer Science
January 1, 2002 – January 1, 2005
Nankai University
Bachelor, Mathmatics
January 1, 1998 – January 1, 2002
Intel Corporation
AI Software Dev. Leader
September 1, 2016 – Present
Intel Corporation
Platform Arch. for Intel DCG
March 1, 2016 – January 1, 2018
intel
System Engineer Manager
September 1, 2014 – February 1, 2015
intel
Software Engineer Manager
April 1, 2010 – January 1, 2015
intel
Software Engineering Manager
January 1, 2009 – March 1, 2010
intel
Program manager
January 1, 2007 – January 1, 2009
intel
Tech. Lead
January 1, 2005 – January 1, 2007
Eriya
System integration department manager
January 1, 2004 – January 1, 2005
Beijing
Lenovo
SW eng.
January 1, 2002 – January 1, 2004
Intel Data Platforms Group Technical Lead
Intel
June 24, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for a role requiring deep technical expertise, innovation, and leadership in AI/ML. Their career progression at Intel, involvement in multiple cutting-edge projects (LLM chatbots, quantization tools, persistent memory, FPGA-based DL), and co-authorship of technical articles indicate a proactive, continuous learning mindset. The breadth of experience from low-level system engineering to high-level AI software development suggests adaptability and a comprehensive understanding of the technology stack, which aligns well with dynamic R&D environments.
Soft Skills & Operational Fit
The candidate's extensive experience at Intel, progressing through various technical and leadership roles, suggests strong operational fit within a large, complex engineering organization. Their descriptions highlight leadership in initiating projects, architecting solutions, and collaborating with internal and external teams, indicating strong soft skills in project management, technical leadership, and problem-solving. The focus on productization and customer enablement also points to a results-oriented approach.