Help & Supportcareers@gravityer.com
AI Research Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Resourceful, eclectic AI research engineer. Mathematician by training with a first-principles analytical mindset. I've worked at seed-stage startups and at Google, and all over the spectrum between product work and pure research.
Stanford University
Doctor of Philosophy (Ph.D.), Mathematics
January 1, 2010 – January 1, 2015
Vanderbilt University
Bachelor's Degree, Computer Science and Mathematics
January 1, 2006 – January 1, 2010
Laurel
Senior AI Engineer
November 1, 2025 – Present
San Francisco, CA
Astera Institute
Research Engineer
May 1, 2024 – April 1, 2025
Berkeley, California, United States · Hybrid
Sprig
Staff Machine Learning Engineer
August 1, 2022 – February 1, 2023
Minnesota Timberwolves
Basketball Analyst
March 1, 2022 – October 1, 2022
Remote
Sprig
Senior Machine Learning Engineer
August 1, 2021 – August 1, 2022
Abacus.AI - Formerly RealityEngines.AI
Senior Machine Learning Engineer
May 1, 2019 – April 1, 2021
San Francisco, California
Software Engineer, Machine Learning
October 1, 2018 – April 1, 2019
Mountain View, California
Airbnb
Data Scientist - Machine Learning
September 1, 2016 – September 1, 2018
San Francisco Bay Area
Zenefits
Data Scientist
April 1, 2016 – September 1, 2016
San Francisco Bay Area
The Data Incubator
Fellow
January 1, 2016 – February 1, 2016
Program graduate
The Data Incubator
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong background in AI/ML engineering and data science, with experience ranging from large tech companies (Google, Airbnb) to startups (Abacus.AI, Sprig) and research institutes (Astera Institute). The target role of 'Data Analyst' is a slight pivot from their recent senior AI/ML engineering roles, but their earlier data scientist and basketball analyst roles show direct relevance. The breadth of experience across different industries (tech, sports) and company sizes suggests a versatile individual who could adapt to various organizational cultures. However, the primary focus on advanced AI/ML might indicate a preference for more complex, research-oriented problems than typical data analyst tasks.
Soft Skills & Operational Fit
The candidate's experience descriptions indicate a focus on technical contributions and problem-solving. While direct soft skill assessment is not possible from the provided data, the diverse roles and companies suggest adaptability and collaboration. The role at Abacus.AI as employee number 5 implies an ability to thrive in fast-paced, startup environments.