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Senior Lead Machine Learning Engineer
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 Lead MLE at Capital One AI Foundations organization, supporting foundational model development and associated data engineering and analytics work. Previous engagements included Credit Card Data Science, Anti Money Laundering Cybersecurity, Legal, Commercial Banking. Masters of Science, Computer Science (ML Specialization), Georgia Institute of Technology Bachelors of Science, Computer Science, University of Maryland
Georgia Institute of Technology
Master of Science - MS, Computer Science
May 1, 2024 – Present
University of Maryland
Bachelor’s Degree, Computer Science
January 1, 2011 – January 1, 2015
Capital One
Senior Lead Machine Learning Engineer
July 1, 2024 – Present
Bricata
Lead Machine Learning Engineer
December 1, 2021 – July 1, 2024
Washington DC-Baltimore Area
Capital One
Senior ML Engineer
July 1, 2018 – December 1, 2021
Capital One
Data Engineer
August 1, 2016 – December 1, 2021
Capital One
Machine Learning Engineer
July 1, 2016 – December 1, 2021
Capital One
Software Engineer
July 1, 2015 – January 1, 2016
Richmond, Virginia Area
Capital One
Software Engineering Intern
June 1, 2014 – August 1, 2014
Washington D.C. Metro Area
Firaxis Games
QA Intern
April 1, 2011 – June 1, 2011
Baltimore, Maryland Area
Machine Learning
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a long tenure at Capital One, indicating stability. Their experience spans various domains (Cyber Security, AML, Compliance, Legal) and technologies (AWS, Hadoop, Spark, Java, Scala, Python, Ansible), suggesting adaptability. However, the target role is 'Big Data Engineer' while recent roles are heavily focused on Machine Learning. While there's overlap, a direct cultural fit for a pure Big Data Engineering role needs further validation.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit beyond the general experience in team environments implied by senior roles. Psychometric test scores are 0, indicating no data for evaluation.