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GM AI Agents| Microsoft | VP / Founder / Board Advisor
GM and Partner at Microsoft leading AI models and agent platforms that power enterprise products and partners on Microsoft cloud, Azure and Dynamics. My work is centered on building, scaling, and operationalizing Generative AI and large language model–driven systems across product engineering, applied AI/ML, and research. Deep leadership experience across the full AI stack—model platforms, agent architectures, applied ML, and enterprise‑grade AI systems—translating cutting‑edge research into secure, scalable, and commercially impactful solutions. Prior to Microsoft, I led AI, data, and engineering teams at Nokia, Oracle, Goldman Sachs, and multiple startups. I hold degrees in Engineering and Economics from the University of Pennsylvania (Engineering + Wharton). Frequent keynote and panel speaker. ---------------------------------------------------- Microsoft Manufacturing AI Panel, HMI 2024 Avanade AI Panel, HMI 2024 Litmus fireside chat and live stream, HMI 2024 MIT Tech Review collaboration and quotes, 2024 PTC Generative AI Panel, 2023 Upenn Radio, 2023 TCS Virtual Exec Round table, on AI and Digital Twins, 2023 Tulip Calling - Generative AI and Manufacturing, 2023 Ortus Club - Enterprise Leaders, 2023 Contributions to a Football analytics book on Amazon, 2022 Heads of Data Science Keynote on AGI, 2020 TieCon East, Deep Learning, 2019 Mass TLC, NERD 2019 Think Tank Paper 2018: Think Tank paper: http://www.iftf.org/aiforces/ MS Ignite, Orlando 2018 AI Expert Thinktank, NH, 2018 AI Summit Keynote, NYC, 2017 Credit Suisse AI Session, Winning with Data Science, New York, 2017 Angelbeat Keynote, Newton, MA - 2017 MS Intern Panel, Cambridge, MA, 2017 Thomson Reuters Emerging Tech Panel - State of AI, NYC, 2016 UCLA Anderson Big Data Conference, LA, 2016 Innovation Round Table, Cambridge, MA, 2016 Data Insights Conference, Microsoft, Seattle,2016 Rise of AI,
University of Pennsylvania
Bachelor of Engineering, Electrical Engineering
N/A – Present
Massachusetts Institute of Technology
MIT Sloan Executive Education
N/A – Present
The Wharton School
Bachelor's degree, Economics
N/A – Present
Microsoft
GM & Partner | Leading Agents and AI Research for Dynamics 365
March 1, 2025 – Present
Microsoft
GM & Partner | Leading Copilot and Models for Industry
April 1, 2019 – March 1, 2025
Microsoft
GM | Leading Applied Science for Azure AI Platform (Azure ML)
April 1, 2014 – April 1, 2019
Alation
Board of Advisors
January 1, 2012 – January 1, 2013
San Francisco Bay Area
Nokia
Sr. Director, Algorithms
November 1, 2009 – April 1, 2014
Greater Boston
Oracle
Chief Architect, Retail Analytics (via Profitlogic acquisition)
April 1, 2001 – April 1, 2009
Aptera
Founder, CTO
June 1, 2000 – April 1, 2002
Greater Boston
Goldman Sachs
Software Engineer
January 1, 1998 – January 1, 2000
New York, United States
Cultural Fit Analysis
The candidate's career trajectory, moving from a startup founder/CTO to senior leadership roles at major tech companies, demonstrates adaptability and a broad understanding of different organizational cultures. Their involvement in open-source projects and advisory roles indicates a collaborative and knowledge-sharing mindset. The diverse experience across various AI domains and leadership levels suggests a strong cultural fit for an innovative and fast-paced AI engineering environment.
Soft Skills & Operational Fit
The candidate's extensive leadership and management experience at large technology companies like Microsoft and Nokia suggests strong operational fit, including strategic thinking, team leadership, and project execution. Their involvement in advisory roles and startup founding indicates entrepreneurial spirit and business acumen. However, specific soft skill assessment data is not available.