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Director of AI/ML | ex-Google | ex-LinkedIn
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
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
Building Resilience as a Leader
June 24, 2026 – Present
Managing Innovation
June 24, 2026 – Present
Developing Executive Presence
June 24, 2026 – Present
Computing for Data Analysis
Coursera
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.