Co-Founder & CEO, DataBrain | Agentic analytics platform
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Carnegie Mellon University
Master's degree
N/A – Present
College of Engineering, Guindy
Computer Science and Engineering
N/A – Present
DataBrain
Co-Founder and CEO
July 1, 2022 – Present
San Francisco, CA
On Deck
ODF4
April 1, 2020 – June 1, 2020
Supervised AI
Founder
June 1, 2019 – November 1, 2021
San Francisco, California, United States
Le Tote
Machine Learning Engineer
January 1, 2016 – September 1, 2018
Le Tote
Software engineering
September 1, 2014 – January 1, 2016
Kabam
Software Engineer
February 1, 2012 – September 1, 2014
San Francisco Bay Area
Claritics Inc
Software Engineer Intern
May 1, 2011 – August 1, 2011
San Francisco Bay Area
Extreme Networks
Software Development Engineer Intern
May 1, 2008 – June 1, 2008
Alcatel-Lucent
Software Development Engineer Intern
May 1, 2007 – June 1, 2007
Cultural Fit Analysis
The candidate's career trajectory shows a strong entrepreneurial drive and a focus on building new products and teams. This aligns well with innovative, fast-paced environments. The diverse experience across gaming, e-commerce, and AI startups indicates adaptability and a broad interest in different problem domains. However, the recent focus on founder roles might suggest a preference for high autonomy, which should be considered for team-oriented backend engineering roles. The lack of explicit community involvement or detailed project descriptions makes a deeper cultural fit assessment challenging.
Soft Skills & Operational Fit
The candidate's entrepreneurial background (Co-Founder, Founder) suggests strong leadership, initiative, and problem-solving skills. Experience in starting an ML team and leading projects indicates operational fit for roles requiring ownership and strategic thinking. However, the lack of specific project details or team collaboration descriptions in the provided data makes it difficult to fully assess soft skills like teamwork and communication beyond what is inferred from leadership roles.