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MTS @ Reflection
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine Learning Engineer working on Cruise's fleet of self-driving cars. Feel free to reach out with questions.
Stanford University
Master of Science (MS), Computer Science
January 1, 2016 – January 1, 2017
Stanford University
Bachelor of Science (B.S.), Computer Science
January 1, 2012 – January 1, 2016
Reflection
Member of Technical Staff
March 1, 2026 – Present
San Francisco Bay Area
Wayve
ML Engineer
April 1, 2025 – April 1, 2026
Cruise
Staff Machine Learning Engineer - Behavior Planning
March 1, 2023 – April 1, 2025
Cruise
Senior Machine Learning Engineer II - Prediction
November 1, 2021 – March 1, 2023
Cruise
Senior Machine Learning Engineer - Prediction
June 1, 2021 – November 1, 2021
Cruise
Machine Learning Engineer - Prediction
September 1, 2019 – July 1, 2021
Senior Software Engineer
November 1, 2018 – September 1, 2019
Software Engineer - Data Analysis, Data Mining and Machine Learning
August 1, 2017 – September 1, 2019
Stanford University
Artificial Intelligence TA
September 1, 2016 – December 1, 2016
Stanford, CA
Software Engineering Intern
June 1, 2016 – September 1, 2016
San Francisco Bay Area
Intuit
Software Engineering Intern
June 1, 2015 – August 1, 2015
Mountain View, CA
Stanford University
CS106 Section Leader
September 1, 2014 – December 1, 2014
Intuit
Software Engineering Intern
June 1, 2014 – August 1, 2014
Mountain View
Cultural Fit Analysis
The candidate has a strong background in AI/ML, particularly in autonomous systems, which aligns with innovative and research-heavy environments. Their experience at large tech companies (LinkedIn, Cruise) suggests familiarity with structured development processes. However, the target role is 'Backend Engineer' while the candidate's recent experience is heavily skewed towards ML Engineering. This might indicate a potential mismatch in core responsibilities and day-to-day tasks, requiring a significant shift in focus. The lack of diverse project types outside of ML/AI also limits the assessment of broader cultural fit for a general backend role.
Soft Skills & Operational Fit
The candidate's resume indicates experience in teaching and mentoring (TA, Section Leader), suggesting strong communication and collaboration skills. Their progression through various roles at Cruise and LinkedIn implies adaptability and a strong work ethic. However, without specific project details or behavioral assessments, a deeper analysis of operational fit and soft skills is limited.