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Building general-purpose AI agents with LLM + RL at scale | Hiring
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I'm passionate about pushing the frontier of AGI research and products, with experiences in AI R&D, leadership, strategies, and building startups.
Huazhong University of Science and Technology
B.S., Computer Science
N/A – Present
Arizona State University
PhD Candidate, Computer Science
N/A – Present
Amazon
Member of Technical Staff, AGI SF Lab
October 1, 2024 – Present
San Francisco Bay Area · On-site
inspir.ai
Co-founder/ CTO
July 1, 2018 – September 1, 2024
San Francisco Bay Area
Netflix
Lead Machine Learning Engineer/Researcher
June 1, 2012 – June 1, 2018
Los Gatos, CA
AT&T Labs, Inc.
Researcher- Search & Recommendations
April 1, 2011 – June 1, 2012
ExpertHub (Acquired by Internet Brands)
Founding Member
August 1, 2008 – April 1, 2011
San Francisco Bay Area · On-site
Cultural Fit Analysis
The candidate's background includes founding a startup, leading research at major tech companies (Amazon, Netflix), and contributing to academic research. This diverse experience suggests adaptability, innovation, and a drive for impact, which aligns well with dynamic, research-driven environments. Their work on AI companion agents and game AI indicates a user-centric and product-oriented mindset.
Soft Skills & Operational Fit
The candidate's experience as a Co-founder/CTO and leading research teams suggests strong leadership, strategic thinking, and problem-solving skills. Their involvement in fundraising and managing large teams indicates excellent communication and collaboration abilities. The ability to scale systems to support 100M+ daily API calls demonstrates operational acumen.