Machine Learning Engineering Manager | Ranking, Large-Scale Recommenders & Multi-Modal AI Systems @ Meta
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Experienced AI leader. Expert in implementing AI and Recommender Systems and Infrastructure.
Colorado State University
Ph.D., Computer Engineering
January 1, 2008 – January 1, 2012
University of Houston-Clear Lake
M.S., Computer Science
January 1, 2006 – January 1, 2008
Jordan University of Science and Technology
B.S, Computer Science and Information Systems
January 1, 2002 – January 1, 2005
Stanford University
Continuing Studies - Leadership
N/A – Present
Meta
AI Engineering Manager - Training & Inference Co-design
September 1, 2024 – Present
Stealth AI Startup
Founder
July 1, 2023 – September 1, 2024
San Francisco Bay Area · On-site
Windfall
Tech Lead, ML Feature Store
July 1, 2022 – October 1, 2022
San Francisco Bay Area · Remote
Senior Manager, AI
October 1, 2020 – June 1, 2022
Engineering Manager, Feed AI
April 1, 2018 – October 1, 2020
Credit Karma
Senior Manager, Machine Learning
January 1, 2018 – April 1, 2018
Credit Karma
Engineering Manager, Machine Learning
July 1, 2016 – January 1, 2018
Radius Intelligence
Engineering Manager, Data Engineering
October 1, 2015 – July 1, 2016
Radius Intelligence
Software Engineer
January 1, 2015 – October 1, 2015
ServiceLogix, Inc.
Software Developer
August 1, 2012 – May 1, 2013
Denver Metropolitan Area
Arabella Consulting LLC
Principal
April 1, 2012 – January 1, 2015
Fort Collins, Colorado Area
Step 2 Compliance
Director of Digital Development
May 1, 2011 – September 1, 2014
Fort Collins, Colorado
Foundation Technologies, LLC
Software Engineer
December 1, 2008 – March 1, 2011
Fort Collins, Colorado, United States
Colorado State University
Graduate Research Assistant
August 1, 2008 – August 1, 2012
DigiComm Solutions Inc.
Software Engineer
September 1, 2007 – August 1, 2008
Greater Houston
The RICE Rule Service
March 1, 2012 – Present
At step2compliance, we have developed the proprietary RICE Rule Tool to automate the process of evaluating regulatory applicability and identifying specific requirements triggered for stationary RICE (reciprocating internal combustion engines). The RICE Rule Tool is the “engine” of our RICE Rule Service. No one else in the industry offers such a simple solution to such a complex and challenging problem. Our solution scales from a single engine to an entire fleet.
Cultural Fit Analysis
The candidate has a diverse background spanning large tech companies (Meta, LinkedIn), startups (Stealth AI, Windfall), and consulting. This breadth suggests adaptability and a willingness to work in various organizational structures. The focus on AI/ML and Big Data aligns well with a modern tech culture. The academic background and research experience also indicate a drive for continuous learning and problem-solving. The 'Founder' role at a Stealth AI Startup demonstrates entrepreneurial spirit and initiative.
Soft Skills & Operational Fit
The candidate's resume highlights leadership roles (AI Engineering Manager, Senior Manager, Tech Lead) and experience scaling teams, indicating strong leadership, project management, and team collaboration skills. The description of cross-org partnerships at Meta suggests good operational fit and ability to work in complex environments. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is limited.