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AI Engineer | JD Student
With a decade of experience in the AI industry, I’ve spent my career pushing the boundaries of innovation, particularly in autonomous driving. For seven of those years, I worked at Tesla alongside world-class AI minds like Andrej Karpathy and Elon Musk, collaborating with the best to shape cutting-edge technology. After taking a gap year to recharge and reflect, I’ve continued my journey in AI while expanding my horizons into the legal field. Currently, I’m pursuing a part-time JD, driven by a growing passion for law—especially AI-related intellectual property and copyright issues—blending my technical expertise with a curiosity for the evolving intersection of technology and policy.
UNH Franklin Pierce School of Law
Doctor of Law - JD, Intellectual Property Law
August 1, 2024 – December 1, 2027
Georgia Institute of Technology
PhD, Electrical and Computer Engineering
January 1, 2010 – January 1, 2014
Shanghai Jiao Tong University
B.S. / M.S., Electrical, Electronics and Communications Engineering
January 1, 2003 – January 1, 2010
Ryan
Legal Resident & Data Scientist
February 1, 2025 – Present
Plano, Texas, United States · Hybrid
Career Break
Gap year
January 1, 2024 – January 1, 2025
Tesla Motors
AI Engineer
November 1, 2016 – December 1, 2023
San Francisco Bay Area · On-site
Texas Instruments
Machine Learning Engineer
May 1, 2014 – October 1, 2016
Dallas/Fort Worth Area
Applied Legal Research: Artificial Intelligence Certificate
LexisNexis
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's experience is heavily skewed towards AI/ML engineering and research, with a recent pivot towards law and AI governance. While there's a strong technical foundation, the target role of 'Data Analyst' is not a direct match for the depth of their AI/ML engineering experience. The current pursuit of a JD and legal residency suggests a different career trajectory, which may impact long-term cultural fit for a pure data analyst role. The project diversity is limited to AI/ML engineering, with no specific data analysis projects mentioned.
Soft Skills & Operational Fit
The candidate's resume highlights significant technical roles, but there is insufficient data to assess soft skills, logical reasoning, work attitude, stress handling, or team collaboration. The career break for law school application and current legal residency indicate a potential shift in career focus.