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Innovative AI & Data Science Executive | Director-Level Leadership in Machine Learning Current Focus: Cognitive Psychology Applied to AI, Physics based AI, and R&D based NeuroSymbolic AI With 10 years of experience in AI, Machine Learning, and Data Science, I am a transformative leader who drives cutting-edge innovation, strategic growth, and high-impact technical teams. My expertise spans Generative AI, AI Agent Engineering, and Blockchain-based AI systems, positioning me as a key player in shaping the future of intelligent automation. I have led and mentored multidisciplinary teams of Data Scientists, ML Engineers, Data Engineers, and Analysts, consistently delivering human-centered AI solutions that enhance user experience and drive business scalability. As a former Director, I have built and executed AI-driven product roadmaps, scaled ML infrastructures, and developed AI personas tailored to business needs, both on-chain and off-chain. My leadership philosophy is rooted in strategic problem-solving, technical excellence, and cross-functional collaboration. I specialize in aligning AI initiatives with business objectives, fostering a culture of continuous innovation, and positioning organizations at the forefront of AI-driven transformation. Key Areas of Expertise: ✔ Executive AI & Data Science Leadership – Driving AI/ML innovation and enterprise adoption ✔ Generative AI & AI Agents – Crafting adaptive, high-performing AI personas ✔ Blockchain AI & Federated Learning – Developing decentralized, privacy-preserving AI solutions ✔ Technical & Strategic Vision – Aligning AI development with business growth ✔ AI-Driven Product Development – Roadmapping and scaling AI-powered solutions ✔ Cross-Functional Leadership – Collaborating across engineering, product, and executive teams ✔ Team Building & Mentorship – Nurturing high-performance
Northwestern University
Master of Science (M.Sc.), Engineering Sciences and Applied Mathematics
N/A – Present
Tulane University
Bachelor of Science (BSc), Neuroscience
N/A – Present
University of California, Berkeley, Haas School of Business
Graduate Certificate, Product Management Studio
N/A – Present
The Maypole Group
Chief Scientist
September 1, 2025 – Present
Greater Seattle Area · Remote
Översätta
Co-founder and Chief Scientist
June 1, 2025 – Present
Seattle, Washington, United States · On-site
Verida
Board Advisor
April 1, 2024 – December 1, 2025
Seattle, Washington, United States · Remote
Aurora Analytics
Research and Development Firm | Product Development | Artificial Intelligence Applications
June 1, 2022 – September 1, 2025
United States · Remote
CyberCube
Director of Data Science | ML | GAI | Federated Learning | Industry - Insurance
March 1, 2021 – June 1, 2022
Bainbridge Island, Washington, United States
Growth Engine AI
Chief AI Officer | Generative AI (GAI) | Knowledge Graph | Industry - DoD
April 1, 2020 – March 1, 2021
Portland, Oregon Metropolitan Area
Topbox
Director of Data Science | Applied NLP | CX | Industry - Multiple Verticals
August 1, 2018 – April 1, 2020
Portland, Oregon
MultiModel Research
Machine Learning Research Scientist | NLP | Industry - Healthcare
March 1, 2016 – April 1, 2018
Greater Boston Area
Providence Health & Services
Research Analyst 3 Contractor | Machine Learning | Industry - Healthcare
May 1, 2015 – September 1, 2015
Portland, Oregon Metropolitan Area
AURORA ANAYLTICS, LLC
Consultant | Machine Learning Research Scientist | Industry - Healthcare, Blockchain
January 1, 2014 – February 1, 2016
AI Agents Fundamentals
Hugging Face
June 24, 2026 – Present
Cryptocurrency and Blockchain: An Introduction to Digital Currencies
University of Pennsylvania
June 24, 2026 – Present
FinTech: Foundations, Payments, and Regulations
University of Pennsylvania
June 24, 2026 – Present
AI Strategy and Governance
University of Pennsylvania
June 24, 2026 – Present
Product Management Studio: October 3-December 8, 2022
UC Berkeley Executive Education
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across startups, consulting, and established companies, including roles as Chief Scientist and Founder, indicates an entrepreneurial spirit and adaptability. The breadth of skills, from core AI/ML to Web3 and blockchain, suggests a willingness to explore new technologies and domains. However, the target role is 'Data Analyst,' which is a significant mismatch with the candidate's extensive senior leadership and research experience in AI/ML. While the candidate possesses strong analytical skills, the career trajectory and current roles are far more advanced and strategic than a typical Data Analyst position, potentially leading to a poor cultural fit if the role is not redefined to leverage their senior expertise.
Soft Skills & Operational Fit
The candidate's resume highlights strong leadership, mentorship, and cross-functional collaboration skills, particularly in scaling data science teams and leading product overhauls. Experience with Agile methodologies suggests an ability to streamline workflows and improve team performance. The descriptions indicate a proactive approach to identifying risks and optimizing operations, which are crucial for senior roles. However, without psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is not possible.