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Staff AI/Ml Research Engineer @ bi[o]hub
AI is analyzing your overall score…
Identifying your key strengths…
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.