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Lead Principal AI Architect at MRO | Building Secure, Scalable AI for Healthcare Data
AI Strategist and Technical Leader who translates complex problems into clear, innovative solutions. Patent holder in AI search systems with a track record of building AI solutions that achieve 10X+ outcomes. I specialize in bridging technical depth with business perspectives, enabling teams to leverage cutting edge LLM, ML, and Data Science technologies across diverse industries -- from healthcare and financial services to energy and market research. I've used my first-principles approach to build data science and AI organizations from the ground up, consistently delivering bottom-line results and fostering cultures of curiosity and innovation. I believe in data-driven decision making, AI enablement, human-centered design, a "no-dumb-questions" brand of teamwork, and ethical/responsible system implementation. I have a strong curiosity for new ideas and connections, so let's connect!
Washington University in St. Louis
M.S., Mechanical Engineering
N/A – Present
Saint Louis University
M.B.A., Business Administration
N/A – Present
Washington University in St. Louis
B.S., Mechanical Engineering and Philosophy-Neuroscience-Psychology
N/A – Present
MRO
Lead Principal AI Architect
June 1, 2025 – Present
Invisibly
Head of AI
January 1, 2024 – January 1, 2025
CSG
Director of Data & AI Strategy
January 1, 2023 – January 1, 2024
Greater St. Louis
Protocol Labs
Data Science Program Lead
January 1, 2022 – January 1, 2023
Prepare.ai
Co-Founder and Executive Director
January 1, 2017 – January 1, 2022
Greater St. Louis Area
Capacity
Chief Data Scientist
January 1, 2017 – January 1, 2022
Greater St. Louis
Applied Energy Group, Inc.
Principal Consultant
January 1, 2011 – January 1, 2017
Ameren
Senior Planning Analyst
January 1, 2008 – January 1, 2011
Greater St. Louis
Boeing
Structural Dynamics Engineer
January 1, 2004 – January 1, 2007
Greater St. Louis
Deep Learning Specialization
Coursera
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Sequence Models
Coursera
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Text Mining and Analytics
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory shows a strong inclination towards leadership in AI and data science, with significant experience in strategic roles. While the target role is 'Data Analyst', the candidate's profile is heavily skewed towards 'Lead Principal AI Architect', 'Head of AI', and 'Chief Data Scientist' positions. This indicates a potential mismatch in the desired level of responsibility and scope. Their diverse industry experience and involvement in community building (Prepare.ai) suggest adaptability and a collaborative mindset, but the senior leadership focus might lead to overqualification or a desire for more strategic influence than a typical Data Analyst role offers. The lack of specific projects as a Data Analyst further highlights this potential misalignment.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic planning, project management, and communication skills through their various Head of AI, Director, and Chief Data Scientist roles. Their experience in scaling teams and driving enterprise AI strategies indicates a high operational fit for roles requiring both technical depth and strategic oversight. Entrepreneurial experience also suggests initiative and problem-solving capabilities.