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GenAI Builder. Google, Ex-AWS.
Experienced Strategic GenAI Principal Solutions Architect. Self-starter with bias for action. Highly effective in managing ambiguity in a complex high-pace environment. Hands-on expertise with agentic tools, models, and products in a forward-deployed role. Focused on accelerating business outcomes for customers through enabling ML/GenAI product deployments. Bridged the gap between complex AI/ML solutions and enterprise-scale production environments. Have a proven track-record of accelerating multi-million dollar revenue growth by architecting Agentic systems for Fortune 500 partners.
Stanford University
Computer Science Graduate Certificate, Machine Learning, Big Data
January 1, 2018 – Present
Stanford University
MS Electrical Engineering, ASIC design and Telecommunications
January 1, 1999 – Present
California State University, Sacramento
BS Physics, BS Mechanical Engineering/Material Science
January 1, 1995 – Present
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
BS, Physics/Material Science
January 1, 1989 – January 1, 1992
GenAI Principal Partner Solutions Architect
January 1, 2024 – Present
Sunnyvale, California, United States · On-site
Amazon Web Services
Principal GenAI Solutions Architect, Generative AI Acceleration Team, Strategic Accounts
January 1, 2022 – December 1, 2023
On-site
Amazon Web Services
Principal AIML Solutions Architects, Strategic Accounts
January 1, 2020 – January 1, 2022
On-site
Amazon Web Services
Senior AIML Solutions Architect, Strategic Accounts
January 1, 2018 – January 1, 2020
On-site
Intel Corporation
Solutions Architect and Technical Product Manager, Deep Learning on Apache Spark, BigData Tech
January 1, 2016 – January 1, 2018
Santa Clara, CA
Intel Corporation
Hardware and Software Prototyping Manager
January 1, 2010 – January 1, 2016
Santa Clara, CA
Stream Processors, Inc
Systems Engineering
January 1, 2005 – January 1, 2010
AWS Certified Solutions Architect Professional
Amazon Web Services (AWS)
June 24, 2026 – Present
Google Cloud Certified Professional Cloud Architect
June 24, 2026 – Present
Google Cloud Professional ML Engineer Certification
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's extensive experience at Google and AWS, working with strategic accounts and partners, indicates a strong fit for fast-paced, innovation-driven environments. Their involvement in influencing product roadmaps and driving technical strategy aligns with a proactive and impactful cultural fit. The diversity of their roles, from hardware prototyping to principal GenAI architect, shows adaptability and a broad technical interest. Their academic background, including multiple degrees and a graduate certificate in ML/Big Data, demonstrates a commitment to continuous learning and intellectual curiosity.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight strong leadership, mentoring, and cross-functional collaboration skills. They have demonstrated the ability to build and lead teams, influence product direction, and work effectively with engineering, sales, and business development teams. Their role as a Solutions Architect implies strong problem-solving and client-facing communication abilities. The lack of psychometric test results prevents a deeper assessment of work attitude, stress handling, and team collaboration.