Zhipeng Yan
ML EngineerInfra@Dyna Robotics
Dyna Robotics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Infra@Dyna Robotics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Generative AI/Data platform
UC San Diego
Master’s Degree, Computer Science
January 1, 2016 – January 1, 2018
The Chinese University of Hong Kong
Bachelor’s Degree, Computational and Applied Mathematics
January 1, 2011 – January 1, 2015
Dyna Robotics
Member of Technical Staff
March 1, 2026 – Present
Redwood City, CA · On-site
Adobe
Staff Machine Learning Engineer
September 1, 2023 – March 1, 2026
Remote
Adobe
Senior Machine Learning Engineer
September 1, 2023 – February 1, 2025
Remote
TuSimple
Technical Lead
July 1, 2022 – June 1, 2023
TuSimple
Senior Research Engineer II
July 1, 2020 – July 1, 2022
TuSimple
Senior Research Engineer
November 1, 2019 – June 1, 2020
TuSimple
Machine Learning Engineer
February 1, 2018 – October 1, 2019
TuSimple
Deep learning engineer Intern
June 1, 2017 – September 1, 2017
San Diego, California, United States
CVX101: Convex Optimization
Stanford University
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Mining Massive Dataset SOA with Distinction
Coursera
June 24, 2026 – Present
Deep Learning
Udacity
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a consistent career trajectory in Machine Learning and Data Engineering, primarily within the autonomous driving and generative AI sectors. Their experience at Adobe and TuSimple, both fast-paced and innovative companies, suggests a fit for dynamic environments. The breadth of skills from Computer Vision to Generative AI and Data Infrastructure indicates a versatile individual. However, the lack of diverse industry experience outside of these two domains might suggest a more specialized rather than broadly adaptable cultural fit, depending on the specific needs of the target organization.
Soft Skills & Operational Fit
The candidate's experience at TuSimple and Adobe indicates strong leadership, project management, and team management skills. Their progression through various roles suggests adaptability and a capacity for increasing responsibility. The descriptions of building data platforms and leading teams imply good problem-solving and collaboration abilities. However, without specific psychometric test results, a detailed assessment of stress handling or direct team collaboration style is not possible.