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DL Compute for AI Innovation
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Collaborate with the open-source community working on deep learning and graph neural networks, leveraging the NVIDIA software stack, GPUs, and AI systems to enhance the capabilities of AI.
University of Kentucky
PhD, Electric Engineering
January 1, 2007 – January 1, 2011
Beihang University
MS, Electric Engineering
January 1, 2004 – January 1, 2007
Hefei University of Technology
Bachelor of Science (BS), Mechanic Engineering & Electric Engineering
January 1, 1999 – January 1, 2003
NVIDIA
Principal Deep Learning Compute Engineer
January 1, 2025 – Present
NVIDIA
Deep Learning Software Engineering Manager
November 1, 2017 – Present
Cadence Design Systems
Sr. Software Engineering Manager
June 1, 2017 – November 1, 2017
Cadence AHgorithms Toastmaster Club
President
January 1, 2015 – December 1, 2015
San Jose, California
Cadence Design Systems
Principal Software Engineer
July 1, 2014 – June 1, 2017
Cadence Design Systems
Sr. Member of Tech Staff
July 1, 2012 – July 1, 2014
Sigrity
R & D Engineer
October 1, 2011 – July 1, 2012
900 E. Hamilton Ave, Campbell CA 95008
Schlumberger
Intern Research Assistant
May 1, 2010 – August 1, 2010
University of Kentucky
Teaching Assistant
January 1, 2008 – September 1, 2011
University of Kentucky
Research Assistant
August 1, 2007 – January 1, 2008
NLP with Python for Machine Learning Essential Training
June 24, 2026 – Present
Advanced Python
June 24, 2026 – Present
Learning Docker
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory shows a strong focus on deep learning, AI, and high-performance computing, primarily within large tech companies like NVIDIA and Cadence. While this demonstrates a consistent and deep commitment to specific technical domains, the direct alignment with a 'Data Analyst' role is not immediately apparent. The experience is heavily skewed towards engineering, research, and management in AI/ML infrastructure rather than traditional data analysis, reporting, or business intelligence. The project diversity is limited to the described work at NVIDIA and Cadence. This profile might be overqualified or misaligned for a typical Data Analyst role, suggesting a potential mismatch in cultural fit for a role that might require more direct business-oriented data interpretation and less core engineering.
Soft Skills & Operational Fit
The candidate's experience as a Teaching Assistant and President of a Toastmasters Club suggests good communication and leadership skills. The description of partnering with AI startups and collaborating with internal NVIDIA teams indicates strong interpersonal and teamwork capabilities. However, without specific psychometric test results, a definitive assessment of work attitude, stress handling, and team collaboration is limited.