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AI@Glean
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of California, Berkeley
Bachelor of Science (BS), Electrical Engineering and Computer Science
January 1, 2012 – January 1, 2016
Glean
Software Engineer
January 1, 2025 – Present
Palo Alto, California, United States · On-site
Conduit
Founder/Quantitative Researcher
January 1, 2022 – November 1, 2024
San Francisco, California, United States
Framework Ventures
Quantitative Researcher
January 1, 2021 – December 1, 2021
San Francisco, California, United States
Research Engineer (Core Data Science)
July 1, 2017 – June 1, 2021
Software Engineer
August 1, 2016 – June 1, 2017
UC Berkeley
Machine Learning Undergraduate Student Instructor
August 1, 2015 – May 1, 2016
Software Engineering Intern
June 1, 2015 – August 1, 2015
Menlo Park, CA
UC Berkeley
CS162 (Operating Systems) Reader
January 1, 2015 – May 1, 2015
Amazon Cloudsearch (A9.com)
Software Engineering Intern
May 1, 2014 – August 1, 2014
CableLabs
Python/Django and Openstack Developer
May 1, 2013 – May 1, 2014
Louisville, Colorado
Bureau of Reclamation
Engineering Intern
June 1, 2011 – August 1, 2012
Colorado School of Mines
Research Assistant
June 1, 2010 – August 1, 2011
Chess Move Finder
October 1, 2015 – Present
For the UC Berkeley CSUA Hackathon, we built a system that takes as input a running video stream of your real-life chess game through an Asus PrimeSense, and converts the raw image to a precise board/piece representation. It passes the board state after each turn to Stockfish, which then speaks out the optimal move for that turn--you'll never lose a game of chess again.
Page/Text Ranking Web Crawler - iPython
October 1, 2014 – Present
Developed a Web Crawler that determines the most popular topics in Daily Cal articles. Crawler uses a PageRank algorithm to determine the significance of pages on the Daily Cal website. Then, after parsing each page with Beautiful Soup, runs a TextRank algorithm to extract key words/phrases from each article. Final results were extracted using a weighted combination of the two ranks.
Cultural Fit Analysis
The candidate's background includes significant work in research, open-source contributions (Ax), and entrepreneurial ventures. This suggests a strong drive for innovation, problem-solving, and a willingness to take ownership. Their experience in both large tech companies (Facebook, Amazon) and startups (Conduit) indicates adaptability to different organizational cultures. The teaching experience also points to a collaborative and knowledge-sharing mindset. While the target role is 'Data Analyst', their experience is heavily skewed towards 'Data Scientist' or 'Quantitative Researcher', which might indicate a potential mismatch in day-to-day responsibilities if the Data Analyst role is more focused on reporting and less on advanced modeling/research.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and initiative through founding a company and leading engineering efforts at Facebook. Their experience as an instructor suggests good communication and mentoring skills. The diverse project background indicates adaptability and a proactive approach to problem-solving. The quantitative research and data science roles align well with the analytical demands of a Data Analyst role.