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Iteratively building AI products
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I’m supporting the ML Platform at Robinhood, across services of foundation infrastructure from notebook, feature store to training platform, and online inferencing. My background comes from a PhD in mathematics, and expertise in deep learning, personalized recommendation systems, and scalable ML infra leveraging Kubernetes, Spark, Scala, Python, and C/C++. My team makes end-to-end ML prod applications easy.
New York University
Doctor of Philosophy (Ph.D.), Mathematics
January 1, 2014 – Present
National Taiwan University
Bachelor of Science (B.Sc.), B.B.A. in Finance and B.S. Mathematics (Double major)
N/A – Present
Stealth Startup
Founder
May 1, 2024 – Present
San Francisco Bay Area
Robinhood
Engineering Manager, ML Platform
June 1, 2021 – May 1, 2024
Menlo Park, California, United States
Robinhood
Staff Machine Learning Enginer
February 1, 2020 – June 1, 2021
Menlo Park, California, United States
Robinhood
Senior Machine Learning Engineer
December 1, 2018 – February 1, 2020
Menlo Park, California, United States
Airbnb
Senior Software Engineer, Machine Learning
July 1, 2016 – December 1, 2018
San Francisco Bay Area
Lawrence Berkeley National Laboratory
Research Affiliate
May 1, 2015 – July 1, 2015
Massachusetts Institute of Technology
Postdoctoral Associate
July 1, 2014 – July 1, 2016
Harvard University
Postdoctoral Researcher
July 1, 2014 – July 1, 2016
Cultural Fit Analysis
The candidate has a diverse background spanning academia (research at LBNL, postdocs at MIT/Harvard) and industry (Airbnb, Robinhood, Stealth Startup). Their experience in building ML platforms and optimizing market efficiency indicates a results-oriented and innovative mindset. The transition to a 'Founder' role suggests an entrepreneurial spirit and a willingness to take initiative. While the target role is 'Data Analyst', their extensive ML engineering and management background might indicate a preference for more advanced analytical or data science roles, which could be a mismatch if the Data Analyst role is purely operational. However, their strong analytical foundation from mathematics and ML engineering could make them a valuable asset.
Soft Skills & Operational Fit
The candidate's career progression from Senior ML Engineer to Engineering Manager at Robinhood suggests strong leadership, project management, and team collaboration skills. Their role in 'democratizing ML' implies an ability to communicate complex technical concepts and drive adoption, which are valuable for operational fit. However, without specific psychometric test results, a detailed assessment of stress handling or work attitude is not possible.