Alan Krumholz
ML EngineerSenior AI Engineer at NVIDIA
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior AI Engineer at NVIDIA
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced data scientist and machine learning engineer with a proven history of leveraging data to solve key business problems and develop disruptive data products. Effective team manager with experience in attracting and developing talent. Energized to learn and work on new technologies that push the limits of what is possible today. Over 17 years of diverse experience in the field working on product R&D and consulting for small and big organizations across several industries.
University of Washington
Master’s Degree, Computer Science and Engineering
N/A – Present
Tecnológico de Monterrey
Bachelor’s Degree, Computer Science and Technology
N/A – Present
The University of British Columbia
Exchange Student, Computer Science
N/A – Present
NVIDIA
Senior AI Engineer
May 1, 2026 – Present
Remote
Kumo.AI
Data Science Lead
September 1, 2023 – May 1, 2026
Remote
Data Science is not Rocket Science
World Traveler (Sabbatical)
July 1, 2022 – September 1, 2023
South America, Asia, Africa, Europe
Yieldmo
Principal Data Science Lead
February 1, 2021 – July 1, 2022
Remote
BetterUp
Principal Machine Learning Engineer
November 1, 2019 – February 1, 2021
Remote
Senior Artificial Intelligence Engineer
March 1, 2018 – November 1, 2019
Greater Seattle Area · Hybrid
Integral Ad Science
Director, Data Science
February 1, 2017 – March 1, 2018
Greater Seattle Area · Hybrid
Microsoft
Senior Data Science Lead
November 1, 2015 – February 1, 2017
Greater Seattle Area · On-site
G2 Web Services
Principal Data Scientist
October 1, 2014 – November 1, 2015
Greater Seattle Area · On-site
Microsoft
Data Scientist
January 1, 2013 – October 1, 2014
Greater Seattle Area · On-site
Microsoft
Software Development Engineer / Technical Lead
July 1, 2011 – July 1, 2013
Greater Seattle Area · On-site
Oracle
Software Developer II
July 1, 2010 – June 1, 2011
Guadalajara Area, Mexico · On-site
Hewlett-Packard Laboratories
Researcher
January 1, 2009 – June 1, 2010
San Francisco Bay Area · Hybrid
Data Engineering on Google Cloud Platform Specialization
Coursera
June 24, 2026 – Present
Deep Learning Specialization
Coursera
June 24, 2026 – Present
Electronic Business Specialty Certificate
UBC Sauder School of Business
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across various industries (services, financial, retail, tech, communications, ad exchange, coaching) and company sizes (startups to large enterprises like Google, Microsoft, NVIDIA) demonstrates adaptability and a broad perspective. Their involvement in leading teams, advising startups, and authoring articles indicates a proactive, growth-oriented mindset and a willingness to share knowledge, which aligns well with a collaborative and innovative culture. The progression through senior and principal roles, coupled with a focus on impactful solutions, suggests a strong drive for excellence and problem-solving.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership roles (Data Science Lead, Principal Data Science Lead, Director, ML Practice Lead) at prominent companies suggests strong leadership, mentorship, and collaboration skills. Their descriptions highlight guiding clients, collaborating with product teams, and establishing new teams, indicating excellent operational fit for roles requiring strategic influence and cross-functional engagement. The sabbatical period also suggests a proactive approach to personal and professional development, including advising startups and authoring articles.