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ML Engineer at Meta MSL+FAIR
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Deep Learning Engineer at Meta. Master's graduate from Berkeley AI Research. Primary interests in AI, Robotics, and Computer Vision.
UC Berkeley College of Engineering
Master of Science - MS, EECS
January 1, 2019 – January 1, 2020
University of California, Berkeley
Bachelor’s Degree, Computer Science
January 1, 2016 – January 1, 2019
Meta
Software Engineer - Machine Learning
June 1, 2025 – Present
New York, New York, United States
Apple
Deep Learning Engineer
August 1, 2020 – May 1, 2025
Tesla
Autopilot Computer Vision Intern
May 1, 2019 – August 1, 2019
Palo Alto, California
Berkeley Artificial Intelligence Research
Researcher
September 1, 2018 – July 1, 2020
NVIDIA
Deep Learning Intern
May 1, 2018 – August 1, 2018
Santa Clara, California
Berkeley Video and Image Processing Lab
Research Assistant
August 1, 2017 – August 1, 2018
Berkeley
Machine Learning at Berkeley
Machine Learning Project Member, Officer
February 1, 2017 – May 1, 2019
Berkeley, CA
UC Berkeley College of Engineering
CS61A Lab Assistant
February 1, 2017 – May 1, 2017
UC Berkeley
Robotics at Berkeley
Programmer
August 1, 2016 – November 1, 2016
Berkeley, CA
Cal Hacks 4.0 FixIt: Winner of the Cal Hacks Fellowship Award
October 1, 2017 – Present
A crowdsourcing app for people to report and fix community issues to improve public spaces. All app users can vote on issues they want fixed and can see the location and description of the issues. Built for Android using the Google Maps API
Cultural Fit Analysis
The candidate's background is heavily skewed towards Machine Learning, Deep Learning, and Computer Vision, with significant experience in research and development roles. While this demonstrates strong technical capabilities, their target role is 'Data Analyst'. This represents a significant mismatch in primary focus. The projects and experience do not explicitly highlight traditional data analysis skills such as advanced SQL, data warehousing, business intelligence tools, or A/B testing, which are typically central to a Data Analyst role. The 'FixIt' project is a crowdsourcing app, not a data analysis project. Their experience is more aligned with an ML Engineer or Research Scientist role.
Soft Skills & Operational Fit
The candidate's extensive experience in research and project-based roles suggests strong problem-solving, analytical thinking, and collaboration skills. Their involvement in teaching (CS61A Lab Assistant) indicates good communication and mentorship potential. The project descriptions highlight initiative and the ability to deliver tangible results.