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NVIDIA AI | Accelerated Computing
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Innovate. Build. Optimize. Scale @ NVIDIA AI. In the past, I’ve held engineering roles at Vistry AI, Teradata, Qualcomm Research and Deutsche Telekom Labs with a focus on identifying business opportunities, creating new products, driving tech innovations, and building teams to go from concept to production. A track record with over 10+ successful products; co-authored 30+ publications, 200+ US issued patents; used by 1B+ customers.
University of Alberta
Ph.D., Electrical and Computer Engineering
January 1, 2003 – January 1, 2007
NVIDIA
Engineering | Systems
January 1, 2023 – Present
San Francisco Bay Area · On-site
Vistry
Technology | Co-Founder
January 1, 2020 – January 1, 2023
San Francisco Bay Area
Teradata
Engineering | ML platform
March 1, 2018 – September 1, 2020
San Francisco, California
Qualcomm
Research | Engineering
January 1, 2008 – January 1, 2018
Greater San Diego Area · On-site
Deutsche Telekom
Research | Engineering
January 1, 2006 – January 1, 2007
Berlin, Germany · On-site
Cultural Fit Analysis
The candidate's diverse experience across large corporations (NVIDIA, Qualcomm, Teradata) and a startup (Vistry) indicates adaptability to different organizational cultures. The focus on 'Innovate. Build. Optimize. Scale.' across multiple roles suggests a proactive and results-oriented mindset. The Ph.D. and extensive research background align with a culture that values deep technical expertise and innovation. However, the target role is ML Engineer, and while the candidate has strong ML platform experience, the most recent role at NVIDIA is described as 'Engineering | Systems' with 'Agentic fusion search for Physical AI' which is less directly aligned with a pure ML Engineer role, potentially indicating a broader systems focus rather than hands-on ML model development.
Soft Skills & Operational Fit
The candidate's co-founder experience at Vistry and leadership roles suggest strong product ownership, strategic thinking, and customer-first approach. The Qualcomm experience highlights innovation and problem-solving. The descriptions indicate a focus on reliability, performance, and security, which are critical for operational fit in an ML Engineer role.