
Staff AI/Ml Research Engineer @ bi[o]hub
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Stanford University
Doctor of Philosophy (PhD), Mechanics and Computation Group
January 1, 2012 – Present
University of Oxford
Master's of Science (MSc), Engineering Science
January 1, 2003 – Present
University of Central Florida
Bachelor's degree, Mechanical Engineering
January 1, 2001 – Present
Biohub
Staff AI/ML Research Engineer
June 1, 2025 – Present
Redwood City, California, United States
Sagence AI
Lead AI Architect
October 1, 2021 – June 1, 2025
Santa Clara County, California, United States
MiniAutonomous
Co-creator of MiniAutonomous
December 1, 2020 – Present
San Francisco Bay Area
Graphcore
AI Application Specialist
November 1, 2018 – November 1, 2020
San Francisco Bay Area
Ford Motor Company
Deep Learning Research Scientist, DeepDSP Team
March 1, 2016 – November 1, 2018
Palo Alto Research and Innovation Center
KLA-Tencor
Senior Research Scientist
January 1, 2014 – January 1, 2015
Milpitas,CA
Bird2Ape Analytics
CoFounder/CTO
January 1, 2012 – January 1, 2014
Cultural Fit Analysis
The candidate has a diverse background spanning research, startups, and large corporations (Biohub, Sagence AI, MiniAutonomous, Graphcore, Ford, KLA-Tencor, Bird2Ape Analytics). This breadth of experience suggests adaptability and an ability to thrive in various organizational cultures. Their involvement in open-source projects (MiniAutonomous) indicates a collaborative and community-oriented approach. However, the target role is 'Data Analyst', while the candidate's experience is heavily skewed towards AI/ML Research and Architecture. While there's overlap, the depth of their AI/ML expertise might be overqualified or misaligned with a pure data analyst role, potentially leading to a mismatch in expectations or scope.
Soft Skills & Operational Fit
The candidate's experience as a Lead AI Architect and CoFounder/CTO suggests strong leadership, problem-solving, and project management skills. Their involvement in an educational platform (MiniAutonomous) indicates a collaborative and knowledge-sharing mindset. The descriptions imply a proactive and innovative approach to technical challenges.