Senior Technical Program Manager, Machine Learning at Google
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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
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Agile Project Management Principles
June 24, 2026 – Present
Agile Foundations
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Sequence Models
Coursera
June 24, 2026 – Present
Convolutional Neural Networks
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.