Help & Supportcareers@gravityer.com
ranking, personalization, growth, risk and anomaly, algorithms and ML
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
10+ years of experience in machine learning and operations research, often acting as an originator of technical solutions, an architect of algorithms and systems, and a bridge between tech and business. I am a practitioner of proactive problem solver, spending most of my time working alongside my team and collaborating with business stakeholders.
Texas A&M University
PhD, Electrical and Computer Engineering
January 1, 2005 – January 1, 2009
Coupang
Sr Principal Engineer
January 1, 2021 – Present
Mountain View, California, United States
Smule, Inc.
VP of Machine Learning, Principal Architect
April 1, 2018 – November 1, 2020
San Francisco Bay Area
Uber
Engineer, Data Scientist
November 1, 2014 – March 1, 2018
San Francisco Bay Area
Engineer
November 1, 2009 – November 1, 2014
Mountain View, CA, USA
IBM T.J. Watson Research Center
Research Intern
May 1, 2008 – October 1, 2008
Texas A&M University, Electrical and Computer Engineering
Research Assistant
September 1, 2005 – November 1, 2009
College Station, TX
Cultural Fit Analysis
The candidate has a strong background in research and development within large, innovative tech companies, which suggests adaptability to fast-paced, data-driven environments. Their experience spans various domains like e-commerce, music, and ride-sharing, indicating a broad interest and ability to apply ML/Data Science principles across different industries. However, the target role is 'Data Analyst', which might be a step down from their 'Sr Principal Engineer' and 'VP of Machine Learning' roles. While their technical depth is exceptional, the alignment with a pure 'Data Analyst' role, which often focuses more on reporting and dashboarding rather than advanced ML/algorithm development, needs further clarification to assess cultural fit and long-term engagement.
Soft Skills & Operational Fit
The candidate's experience as a Sr Principal Engineer and VP of Machine Learning indicates strong leadership, project management, and strategic thinking skills. Their history of initiating and leading projects suggests proactivity and problem-solving capabilities. The descriptions highlight a focus on delivering solutions with measurable KPI lifts, indicating a results-oriented approach. However, without specific psychometric test results or interview data, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.