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Machine Learning and Software
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine Learning Engineer with a history of working in consumer electronics, e-commerce, and consumer banking industries. Specialized in building and operating production systems for real time cloud and edge inference.
The Data Incubator
Data Science
January 1, 2015 – January 1, 2015
The Johns Hopkins University School of Medicine
Doctor of Philosophy (PhD), Biomedical Engineering
January 1, 2008 – January 1, 2016
The City College of New York
BEng, BME
January 1, 2004 – January 1, 2008
Capital One
Senior Machine Learning Engineer
September 1, 2024 – Present
New York City Metropolitan Area
Rokt
Senior Machine Learning Engineer
July 1, 2022 – December 1, 2023
New York, New York, United States
Berkshire Grey
Senior Software Engineer
August 1, 2021 – June 1, 2022
Bedford, Massachusetts, United States
Qeexo
Senior Machine Learning Engineer
March 1, 2019 – August 1, 2021
Qeexo
Senior Machine Learning Engineer
February 1, 2018 – March 1, 2019
Qeexo
Machine Learning Engineer
October 1, 2016 – February 1, 2018
Medical and Biological Engineering and Computing
Assistant Managing Editor
January 1, 2013 – January 1, 2015
Johns Hopkins University
Teaching Assistant
January 1, 2011 – January 1, 2012
Baltimore, Maryland
Johns Hopkins University
Research Assistant
September 1, 2008 – September 1, 2016
Baltimore, Maryland
City College of New York
Research Assistant
January 1, 2006 – September 1, 2008
City College of New York
Peer-Led Team Learning Project - Workshop Leader
January 1, 2004 – January 1, 2006
Baltimore Tax Credit Map
September 1, 2015 – Present
Designed a website dedicated to helping residents of Baltimore take advantage of the Maryland homeowners' tax credit through visualization of whether individual homes are claiming the credit. Additionally, produced an API to hot-link each home on the map to its tax records with the city of Baltimore. The project was created at HopHacks Fall 2015 and won awards for best user experience (sponsored by Mission:Data), best use of Baltimore open data (sponsored by Booz Allen Hamilton), and best project overall.
Program graduate
The Data Incubator
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory shows a strong focus on research and machine learning engineering. While they have a solid analytical foundation, their recent roles are heavily skewed towards ML engineering rather than pure data analysis. The 'Baltimore Tax Credit Map' project demonstrates initiative and community engagement, which could be a positive cultural indicator. However, the overall alignment with a dedicated 'Data Analyst' role, which often involves more business intelligence, reporting, and specific data visualization tools, is not explicitly strong based on their recent professional experience. Their academic background and early research roles align well with data-driven problem-solving.
Soft Skills & Operational Fit
The candidate's experience as an Assistant Managing Editor and Teaching Assistant suggests strong organizational, communication, and mentorship skills. Their research background indicates problem-solving and independent work capabilities. However, without specific project details or behavioral assessments, it's difficult to fully gauge operational fit beyond these inferences.