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AI PM Lead @ Google | ex-NVIDIA
As a Product Management Leader at Google, I specialize in enterprise AI (Gen AI / LLMs, Recommender engine, Computer Vision) solutions, with a focus on launching innovative B2B/B2C products that blend edge computing with cloud technologies. My expertise is a unique blend of strategic decision-making in product management, backed by a robust understanding of both hardware and software. This synergy drives my approach to creating market-aligned, impactful solutions. With a background as an Engineering Manager, I excel in planning and execution, transforming complex technical concepts into operational success. My method is metrics-driven, leveraging data to guide product strategies towards market competitiveness and profitability. Tackling challenges head-on, I am committed to simplifying and resolving them, fostering innovation in the process. Passionate about engaging with the developer community, I have built and managed vibrant ecosystems that encourage collaborative development. My focus is on leveraging AI to create value-driven products, aiming to solve real-world problems and drive growth in the Enterprise AI domain.
University of California, Berkeley, Haas School of Business
Master of Business Administration (MBA), Strategy, Entrepreneurship
N/A – Present
University of Kentucky
Master of Science (MS) in Electrical and Computer engineering
N/A – Present
Product Management and Developer Ecosystem Lead
November 1, 2021 – Present
X, the moonshot factory
Product Management Lead
November 1, 2021 – Present
NVIDIA
Principal Product Manager, Data Science, ML & AI
April 1, 2017 – November 1, 2021
NVIDIA
Product Owner/ Sr. SW Engineering Manager
March 1, 2011 – April 1, 2017
Garmin International
Software Engineer
November 1, 2009 – March 1, 2011
Lexmark
Software Engineer - Intermediate
March 1, 2008 – November 1, 2009
Cultural Fit Analysis
The candidate has a diverse background spanning product management, software engineering, and leadership roles across major tech companies. Their experience with AI, robotics, and embedded systems suggests an innovative and adaptable mindset. However, the recent shift towards product management and AI/ML at a higher level might indicate a less hands-on technical focus compared to a pure firmware engineering role. The cultural fit for a hands-on firmware role would need further validation.
Soft Skills & Operational Fit
The candidate's resume highlights leadership in cross-functional teams, product building from 0->1, and ecosystem development, indicating strong communication, strategic thinking, and collaboration skills. Their experience in product management suggests a user-centric approach and ability to drive initiatives. However, the provided data does not include specific soft skill assessments or direct operational fit details beyond what can be inferred from their roles.