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CTO/Co-founder @ Secludy | Ph.D. in Computational Biology
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of California, Berkeley
Visiting Researcher, Computational Biology
N/A – Present
Iowa State University
Doctor of Philosophy (PhD), Bioinformatics and Computational Biology, specialized in Machine Learning
N/A – Present
Secludy
CTO/Co-founder
May 1, 2024 – Present
San Francisco Bay Area
Williams-Sonoma, Inc.
AI/ML Lead data scientist
January 1, 2020 – January 1, 2024
San Francisco Bay Area
Stanford Research Institute
Postdoc computational researcher
January 1, 2019 – January 1, 2020
Menlo Park, California
Iowa State University
Graduate Researcher
January 1, 2013 – January 1, 2018
Ames, Iowa, United States · On-site
University of California, Berkeley
Visiting Researcher
January 1, 2012 – January 1, 2013
Berkeley, CA, USA
Redis Streams
Redis
June 23, 2026 – Present
Redis Certified Developer
Redis
June 23, 2026 – Present
Advanced Learning Algorithms
Stanford Online
June 23, 2026 – Present
Unsupervised Learning, Recommenders, Reinforcement Learning
Stanford Online
June 23, 2026 – Present
Redis Data Structure
Redis
June 23, 2026 – Present
Redis for Python Developers
Redis
June 23, 2026 – Present
Supervised Machine Learning: Regression and Classification
Stanford Online
June 23, 2026 – Present
Cultural Fit Analysis
The candidate's background includes significant academic research and startup experience, which can indicate an innovative and self-driven mindset. The transition from a lead data scientist role to a CTO/Co-founder position suggests an entrepreneurial spirit and a willingness to take on significant responsibility. However, the lack of diverse project experience outside of core ML/AI applications and bioinformatics, and limited explicit collaboration details, makes a comprehensive cultural fit assessment challenging. The target role of ML Engineer aligns well with the candidate's core technical expertise.
Soft Skills & Operational Fit
The candidate's experience as a CTO/Co-founder and AI/ML Lead Data Scientist suggests strong leadership, problem-solving, and strategic thinking abilities. The academic background implies strong research and analytical skills. However, without specific project descriptions or behavioral assessment data, it is difficult to fully assess communication, teamwork, and adaptability in an operational context.