AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Strategy & Engineering Leader | Stanford AI + MIT CTO (Chief Technology Officer) | Startup to Enterprise Scale
Technology executive specializing in building and scaling engineering and data organizations across startup, scale-up, and global enterprise environments. I combine Stanford-trained technical depth in applied AI/ML systems with MIT-honed leadership to build high-performing engineering cultures and production-grade platforms that drive measurable business outcomes. Proven CTO Track Record: ► Built JPMorgan (the largest US bank) Commercial Banking's AI capability from ground up. Established strategy, engineering teams, and deployment frameworks for GenAI/ML in mission-critical workflows. ► Co-founded and scaled fintech startup FiGuide as CTO from product vision to a successful acquisition. ► Architected production AI platforms at Intuit, Rakuten, and Wolters Kluwer delivering 5x efficiency gains, 70% cost reductions, and multi-million-dollar contracts. AI Governance & Global Thought Leadership: ► Shaped Responsible AI frameworks at JPMorgan that accelerated innovation while mitigating compliance and operational risks in highly regulated environments. ► Co-authored the Springer books "Agentic AI: Theories and Practices" (2025) and "Generative AI Security" (2024). ► 40+ international keynotes spanning agentic systems, responsible AI governance, enterprise deployment, financial services transformation, organizational impact, and frontier research applications. I bridge frontier research and enterprise execution through architecture, governance, and team leadership. Open to connecting with fellow technology leaders and innovators on enterprise AI strategy, speaking opportunities, publishing collaborations, joint research, or strategic partnerships.
Massachusetts Institute of Technology
MIT Chief Technology Officer (CTO) Program, Technology Leadership, AI Innovation, Organizational Transformation
N/A – Present
Stanford University
MS, Computer Science (focus on AI and Systems Engineering)
N/A – Present
JPMorgan Chase & Co.
Head of AI & Machine Learning, Commercial Banking | Chief AI Scientist, Global Banking Technology
January 1, 2021 – January 1, 2025
Palo Alto, California, United States
Stanford University
Course Facilitator, Artificial Intelligence Professional Program
January 1, 2019 – Present
Stanford, California, United States
Intuit
Group Manager of Data Science, Intuit AI
January 1, 2018 – January 1, 2020
Mountain View, California, United States
Rakuten
Machine Learning Team Lead, Slice Technologies
January 1, 2016 – January 1, 2018
San Mateo, California
FiGuide (Acquired by NAPFA)
Co-Founder & Chief Technology Officer
January 1, 2008 – January 1, 2012
Silicon Valley, CA
Wolters Kluwer Health
Technical Lead, Innovation Lab | Senior Software Engineer
January 1, 2003 – January 1, 2016
Sunnyvale, CA
Management of Technology: Roadmapping & Development
MIT Professional Education
June 24, 2026 – Present
Big Data Analysis with Apache Spark (UC-Berkeley)
edX
June 24, 2026 – Present
Learning From Data | Machine Learning (CalTech)
edX
June 24, 2026 – Present
Applied Generative AI for Digital Transformation
MIT Professional Education
June 24, 2026 – Present
Blended Professional Certificate: Chief Technology Officer
MIT Professional Education
June 24, 2026 – Present
Using Databases with Python (University of Michigan)
Coursera Course Certificates
June 24, 2026 – Present
Machine Learning (Stanford University)
Coursera Course Certificates
June 24, 2026 – Present
The Data Scientist’s Toolbox (Johns Hopkins University)
Coursera Course Certificates
June 24, 2026 – Present
R Programming (Johns Hopkins University)
Coursera Course Certificates
June 24, 2026 – Present
Programming with Python for Data Science (Microsoft)
edX
June 24, 2026 – Present
Exploratory Data Analysis (Johns Hopkins University)
Coursera Course Certificates
June 24, 2026 – Present
AWS Certified Cloud Practitioner
Amazon Web Services (AWS)
June 24, 2026 – Present
Capstone: Retrieving, Processing, and Visualizing Data with Python (University of Michigan)
Coursera Course Certificates
June 24, 2026 – Present
Management of Technology: Strategy & Portfolio Analysis
MIT Professional Education
June 24, 2026 – Present
Distributed Machine Learning with Apache Spark (UC-Berkeley)
edX
June 24, 2026 – Present
Coursera Mentor Community and Training Course
Coursera Course Certificates
June 24, 2026 – Present
5 Course Specialization: Program and Analyze Data with Python (University of Michigan)
Coursera Course Certificates
June 24, 2026 – Present
Leadership & Innovation
MIT Professional Education
June 24, 2026 – Present
Machine Learning: From Data to Decisions
MIT Professional Education
June 24, 2026 – Present
Programming with Python (University of Michigan)
Coursera Course Certificates
June 24, 2026 – Present
Python Data Structures (University of Michigan)
Coursera Course Certificates
June 24, 2026 – Present
Using Python to Access Web Data (University of Michigan)
Coursera Course Certificates
June 24, 2026 – Present
Introduction to Apache Spark (UC-Berkeley)
edX
June 24, 2026 – Present
Getting and Cleaning Data (Johns Hopkins University)
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for a senior ML Engineer role, especially one involving strategic leadership and innovation. Their experience spans large enterprises (JPMorgan, Intuit, Rakuten, Wolters Kluwer) and a startup (FiGuide), showcasing adaptability. The involvement in academic facilitation and numerous certifications indicates a commitment to continuous learning and bridging the gap between research and industry, which aligns well with an innovative, growth-oriented culture. The emphasis on 'Responsible AI governance' also suggests a strong ethical and compliant approach to technology development.
Soft Skills & Operational Fit
The candidate's resume highlights significant leadership roles, indicating strong communication, team building, and strategic thinking skills. Experience as a course facilitator at Stanford also suggests strong pedagogical and knowledge transfer abilities. The focus on establishing AI vision and deploying solutions in complex environments points to excellent operational fit for driving advanced ML initiatives.