Sergey Ermolin
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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.