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Vice President | Artificial Intelligence & Machine Learning | x-AWS | Public Speaker | MS CS
TL;DR I love solving complex problems. Senior leader with proven track record leading development teams, designing technical architectures, and implementing artificial intelligence & machine learning solutions at scale (resulting in $MM cost savings for Fortune 100 customers) My primary objective is to bridge the gap between business and technology groups; combining real-world experience with advanced technical knowledge to translate requirements into scalable, maintainable systems. I have professional experience spanning across generative AI, machine learning, software engineering, enterprise AI/ML architecture, MLOps, data science and digital transformation. * MS Computer Science, Interactive Intelligence (Georgia Institute of Technology) * BS Industrial & Systems Engineering, Financial Systems (Georgia Institute of Technology)
Georgia Institute of Technology
Bachelor of Science - BS, Industrial & Systems Engineering
N/A – Present
Georgia Institute of Technology
Master of Science - MS, Computer Science, artificial intelligence
N/A – Present
Southern Glazer's Wine & Spirits
Vice President - Artificial Intelligence & Automation
March 1, 2026 – Present
Southern Glazer's Wine & Spirits
Senior Director - AI ML Innovation
June 1, 2024 – March 1, 2026
Amazon Web Services (AWS)
AWS AI & ML
March 1, 2021 – June 1, 2024
Denver, Colorado, United States
Accenture AI
Principal, Data Engineering & AI Architecture
November 1, 2019 – March 1, 2021
Accenture AI
Artificial Intelligence Engineer
April 1, 2018 – November 1, 2019
CoStar Real Estate Manager
Senior Software Consultant
June 1, 2016 – December 1, 2017
Greater Atlanta Area
Capgemini
Senior Software Development Consultant
March 1, 2014 – May 1, 2016
Greater Atlanta Area
Georgia Institute of Technology
Software Engineer
October 1, 2013 – January 1, 2014
Greater Atlanta Area
Automated Insights
Software Engineer
June 1, 2013 – September 1, 2013
Research Triangle Park, NC
Maxair Mechanical, Inc.
Mechanical Engineering Co-Op
August 1, 2010 – August 1, 2012
Atlanta, GA
Authorized Instructor
Amazon Web Services (AWS)
June 24, 2026 – Present
AWS Certified Machine Learning – Specialty
Amazon Web Services (AWS)
June 24, 2026 – Present
Databricks Accreditation - AI Agent Fundamentals
Databricks
June 24, 2026 – Present
Databricks Accreditation - Generative AI Fundamentals
Databricks
June 24, 2026 – Present
AWS Learning: Object Storage
Amazon Web Services (AWS)
June 24, 2026 – Present
AWS Certified Solutions Architect – Professional
Amazon Web Services (AWS)
June 24, 2026 – Present
AWS Certified Data Analytics – Specialty
Amazon Web Services (AWS)
June 24, 2026 – Present
Federal Security Clearance
United States Department of War
June 24, 2026 – Present
Champion - Authorized Instructor
Amazon Web Services (AWS)
June 24, 2026 – Present
AWS Certified Solutions Architect – Associate
Amazon Web Services (AWS)
June 24, 2026 – Present
AWS Certified Cloud Practitioner
Amazon Web Services (AWS)
June 24, 2026 – Present
Pega Business Architect
Pegasystems
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse professional background spanning consulting (Accenture, Capgemini), major tech (AWS), and enterprise leadership roles. Their experience with various clients (US intelligence community, US telecom, US Defense) and industries (wine & spirits, real estate) suggests adaptability and a broad perspective. The progression into leadership roles focused on AI/ML innovation indicates a proactive and growth-oriented mindset. However, the recent shift to VP roles in a non-tech industry might suggest a move away from hands-on ML engineering, which could be a point of discussion for cultural fit within a purely technical ML Engineer role.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, project management, and communication skills through their roles as VP, Senior Director, Principal, and Senior Technical Instructor. Their experience in developing training content and public speaking indicates strong communication and mentoring abilities. The candidate's history of managing large teams and budgets suggests operational effectiveness and the ability to drive initiatives.