Co-founder & CTO @ Letta
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
PhD , Computer Science (AI Systems)
September 1, 2020 – June 1, 2024
Massachusetts Institute of Technology
Bachelor's degree, Computer Science and Engineering (6-3), Mathematics (18)
January 1, 2015 – January 1, 2019
Letta
Co-founder & CTO
August 1, 2024 – Present
San Francisco Bay Area · On-site
Berkeley RISE Lab
PHD Student
September 1, 2020 – June 1, 2024
Glisten.ai
CEO & co-founder
June 1, 2019 – November 1, 2021
San Francisco Bay Area
SingleStore
Software Engineering Intern
June 1, 2018 – August 1, 2018
San Francisco Bay Area
Quantlab Group
Extern (Performance Optimization)
January 1, 2017 – February 1, 2017
Boston, MA
MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)
Undergraduate Researcher
November 1, 2016 – April 1, 2018
Cambridge, MA
Bloomberg LP
Software Engineering Intern
June 1, 2016 – August 1, 2016
New York City
Metropia, Inc.
Research Intern
February 1, 2015 – August 1, 2015
Tucson, Arizona
MobLab Inc
Software Development Intern
June 1, 2014 – August 1, 2014
Pasadena
Cultural Fit Analysis
The candidate's background is heavily skewed towards academic research and startup leadership, which could be a strong fit for an innovative, fast-paced culture. However, the lack of detailed project descriptions for their entrepreneurial ventures makes it difficult to assess their direct experience in a traditional backend engineering team setting. Their extensive academic background and co-founder roles suggest a drive for impact and innovation. The target role is 'Backend Engineer', and while their technical foundation is strong, the direct alignment with typical backend engineering practices (e.g., API design, microservices, specific frameworks) is not explicitly detailed in their experience descriptions. The cultural fit score is lower due to the lack of explicit alignment with a typical backend engineering team environment, given the strong academic and founder focus.
Soft Skills & Operational Fit
The candidate's entrepreneurial background suggests strong leadership, problem-solving, and initiative. Their research roles indicate a capacity for complex analytical thinking and independent work. However, without specific project details or behavioral assessments, it's difficult to fully assess collaboration, communication, and stress handling in a team environment.