Director of AI/ML | ex-Google | ex-LinkedIn
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Assessing your cultural and operational fit
Innovative ML leader and applied scientist with a track record of delivering $200M+ in ARR through cutting-edge AI product development. Deep expertise in the full ML lifecycle, from hands-on implementation to strategic leadership. Skilled in driving initiatives across Generative AI, GANs, Recommender Systems, Fraud Detection, Ads Prediction, and Privacy-Preserving ML. Proven success in aligning mission-critical challenges with advanced ML/AI solutions. Passionate about building high-impact, data-driven products that scale. I like to make things, launch them and impact the bottom line. I am good at hiring and mentoring. Experienced at leading teams of 100+ engineers.
University of Southampton
Doctor of Philosophy (Ph.D.), Computer Science
January 1, 2006 – Present
KJSCE
Bachelor of Engineering (BE)
N/A – Present
Coinbase
Head of Machine Learning
January 1, 2025 – Present
Coinbase
Head of Machine Learning for Risk and ML Platform
January 1, 2023 – March 1, 2025
Director - Machine Learning for Ads
January 1, 2022 – January 1, 2023
San Francisco Bay Area
Apple
Senior Manager Ads
January 1, 2021 – December 1, 2021
On-site
Tech Lead and Manager - Ads Integrity, Machine Learning, NLP and Knowledge Management
January 1, 2018 – January 1, 2021
San Francisco Bay Area
Tech Lead and Manager - Machine Learning, NLP & Search
January 1, 2015 – January 1, 2018
San Francisco Bay Area
Boise State University
Associate Professor
January 1, 2013 – January 1, 2015
Boise, Idaho Area
eBay
Principal Applied Researcher
January 1, 2011 – January 1, 2013
San Jose, CA
Microsoft
Senior Software Development Engineer
January 1, 2008 – January 1, 2011
Seattle, Washington, United States · On-site
Developing Executive Presence
June 24, 2026 – Present
Computing for Data Analysis
Coursera
June 24, 2026 – Present
Building Resilience as a Leader
June 24, 2026 – Present
Managing Innovation
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across multiple leading tech companies (Coinbase, Twitter, Apple, Google, LinkedIn, Microsoft, eBay) and an academic institution demonstrates adaptability and a broad understanding of different organizational cultures. Their involvement in various domains like FinTech, Ads, and Search, coupled with a focus on innovation and team development, aligns well with a dynamic, high-growth environment. The breadth of skills and project diversity indicates a strong cultural fit for a senior ML Engineer role that requires both technical depth and strategic leadership.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, team building, and cross-functional collaboration skills through their extensive experience managing large ML teams and leading complex projects. Their academic background and history of publications/patents suggest a proactive and innovative mindset. The descriptions highlight mentoring and professional development, indicating a focus on team growth and operational excellence. The certifications in 'Developing Executive Presence', 'Building Resilience as a Leader', and 'Managing Innovation' further support strong soft skills relevant for senior leadership roles.