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Applied AI Research @ NVIDIA
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Building Prediction Machines
University of Illinois Urbana-Champaign
Master of Science (M.S.), Computer Science
January 1, 2010 – January 1, 2012
University of Illinois Chicago
Bachelor of Science (B.S.), Computer Engineering
January 1, 1997 – January 1, 2001
NVIDIA
Sr Applied AI Research Engineer
August 1, 2025 – Present
Santa Clara, California, United States · On-site
Solver
Lead AI Research Engineer
January 1, 2024 – August 1, 2025
San Francisco Bay Area · Remote
Riva Health
Head of AI
January 1, 2021 – December 1, 2023
San Francisco Bay Area · Remote
Viv Labs
Sr AI Research Scientist
April 1, 2015 – December 1, 2020
San Francisco Bay Area · On-site
Cultural Fit Analysis
The candidate's career trajectory shows a strong alignment with innovative, fast-paced environments, from startups (Riva Health, Viv Labs) to major tech companies (NVIDIA, Samsung). Their experience in both research and applied roles, coupled with leadership responsibilities, suggests adaptability and a proactive approach to problem-solving. The diversity of projects, from medical devices to conversational AI and CUDA codegen, indicates a broad interest in cutting-edge AI applications and a willingness to tackle complex challenges, which aligns well with a dynamic ML Engineer role.
Soft Skills & Operational Fit
The candidate's experience leading cross-functional teams and scaling companies from early stages (Riva Health) demonstrates strong leadership, strategic thinking, and operational capabilities. Their work on regulated medical-grade AI systems suggests a meticulous approach to quality and compliance. Collaboration on strategic AI initiatives with a Chief Scientist (Viv Labs) indicates strong communication and alignment with high-level technical vision.