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Senior Technical Program Manager, Machine Learning at Google
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of Cambridge
Master of Philosophy (MPhil), Micro- & Nanotechnology
January 1, 2013 – January 1, 2014
Massachusetts Institute of Technology
Bachelor of Science (B.Sc.), Materials Science and Engineering
January 1, 2009 – January 1, 2013
Technical Program Manager, Machine Learning
March 1, 2022 – Present
New York, New York, United States
Microsoft
Associate Researcher/Technical Program Manager
September 1, 2020 – February 1, 2022
Cambridge, England, United Kingdom
Intel Corporation
Project Lead - AI Hardware System Validation
November 1, 2016 – June 1, 2020
Intel Corporation
Product Ecology Engineer
October 1, 2014 – November 1, 2016
Cambridge Nokia Research Centre
Graduate Researcher
April 1, 2014 – July 1, 2014
Greater Cambridge Area
ITESM Campus Monterrey
Sustainable Development Intern
May 1, 2010 – July 1, 2010
Hidalgo, Mexico
Agile Foundations
June 24, 2026 – Present
Sequence Models
Coursera
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Agile Project Management Principles
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's experience at large, established technology companies like Google, Microsoft, and Intel suggests a fit for structured environments with complex technical challenges. Their involvement in AI research and hardware validation indicates an interest in cutting-edge technology and innovation. The diverse roles, from product ecology to AI program management, show adaptability and a broad technical interest. The certifications in Agile and Machine Learning further demonstrate a commitment to continuous learning and industry best practices.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and project management skills through their roles at Intel, Microsoft, and Google, where they managed cross-functional teams and strategic partnerships. Their experience in developing test plans and managing validation activities indicates a structured and detail-oriented approach. The descriptions suggest an ability to communicate technical information to various stakeholders and manage complex initiatives, which aligns well with the operational demands of a Technical Program Manager role.