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AI Engineer @ Google | Tech Lead | Building Specialized Agent-Based Systems
I design and build AI-powered systems, focused on transforming complex problems into minimalist, elegant solutions. At Google, I work as an AI Engineer and Tech Lead, where I design, develop, and deploy end-to-end AI and machine learning systems on Google Cloud. Projects I've Led and Developed: - Personalized AI sports assistant and fan engagement app - Implemented real-time in-game toxicity detection systems - Created game matchmakers for multiplayer games - Designed computer vision systems for theme park experiences - Analyzed gameplay data for anti-cheat, playtesting, and quality control - AI-powered NPC and player agents integrated into game engines - Developed multiplayer games with embedded AI using Unity - Built AI chatbots for player support, guest assistance, and video asset search - Multi-agent systems using Google Cloud ADK, custom tools, and MCP My current focus is building AI-powered systems, applying the latest advancements in multi-agent workflows, vector embeddings, backend and frontend engineering, and custom integrations. I work to turn technology into practical systems, all while (attempting to) stay ahead of the relentless pace of AI. While most modern applications now involve AI to deliver value, I believe the real goal of technology is to make our lives better, not just to chase what’s new. Sometimes, it’s thoughtful, creative engineering that makes the biggest impact. Let’s connect if you’re exploring AI agents, building intelligent automation systems, or just need a second set of eyes on your project. --- Education: M.S. in Analytics, Institute for Advanced Analytics at North Carolina State B.S. in Electrical Engineering, University of Akron
Institute for Advanced Analytics
Master of Science - MS, Advanced Analytics & ML (NC State University)
January 1, 2010 – January 1, 2011
The University of Akron
Bachelor of Science, Electrical Engineering
January 1, 2002 – January 1, 2007
AI Engineer | Tech Lead | Gaming
August 1, 2022 – Present
Raleigh-Durham-Chapel Hill Area
Coinbase
Staff Software Engineer, Machine Learning and Blockchain Services
April 1, 2022 – August 1, 2022
Raleigh-Durham-Chapel Hill Area
AI/ML Solutions Architect, Gaming
April 1, 2021 – April 1, 2022
AI and Machine Learning Specialist
September 1, 2019 – April 1, 2021
Cloud Machine Learning Engineer - Gaming and Media
June 1, 2018 – September 1, 2019
North Carolina State University
Adjunct Professor, Institute for Advanced Analytics
January 1, 2018 – Present
Raleigh, NC
Hortonworks
Sr. Solutions Engineer, Streaming Analytics and Machine Learning
July 1, 2016 – June 1, 2018
Raleigh-Durham, North Carolina Area
SAS
Sr. Solutions Architect, specializing in Real-time Data Processing
January 1, 2015 – July 1, 2016
SAS
Machine Learning Specialist, NLP & Text Analytics
June 1, 2011 – January 1, 2015
InteractSys Consulting LLC
Co-Founder
January 1, 2008 – May 1, 2009
Cary, NC
RoviSys
Automation Engineer
July 1, 2007 – June 1, 2010
Apex, NC
Goodrich
Automation Engineer Co-op, Sensors Division
January 1, 2005 – September 1, 2006
Uniontown, OH
Google Professional Machine Learning Engineer
June 24, 2026 – Present
Google Professional Data Engineer
June 24, 2026 – Present
Google Professional Cloud Developer
June 24, 2026 – Present
Ultimate Power Speak Certified Presenter
Ultimate Power Speak
June 24, 2026 – Present
Certified Web3 Game Developer
Blockchain Council
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong background in AI/ML and data analytics across multiple prominent tech companies (Google, Coinbase, SAS, Hortonworks), demonstrating adaptability and exposure to various corporate cultures. Their experience as an Adjunct Professor and co-founder also suggests an entrepreneurial spirit and a willingness to contribute to knowledge sharing. However, the target role is 'Data Analyst' while their recent experience is heavily skewed towards 'AI Engineer' and 'ML Solutions Architect', which might indicate a potential mismatch in the expected day-to-day responsibilities and a possible overqualification for a pure analyst role. The breadth of skills and project diversity are high, but the direct alignment with a typical 'Data Analyst' role is moderate, leaning more towards advanced data science or ML engineering.
Soft Skills & Operational Fit
The candidate's extensive experience in architecting solutions, leading teams, and instructing at a university suggests strong leadership, problem-solving, and communication skills. Their diverse roles across different companies and technologies indicate adaptability and a proactive approach to learning. The role as an Adjunct Professor also highlights an ability to simplify complex topics and mentor.