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ML and Data Engineering
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Northern Illinois University
PhD, Physics
January 1, 2001 – January 1, 2007
Stony Brook University
BS, Physics
January 1, 1997 – January 1, 2001
Kensho Technologies
Staff Machine Learning Engineer
June 1, 2023 – Present
Remote
Instapage
Principal Machine Learning Engineer / Director of Data
March 1, 2022 – June 1, 2023
United States
Hum Capital
Tech Lead - Data and Machine Learning Platform
January 1, 2021 – March 1, 2022
Intuit
Staff Machine Learning Engineer
March 1, 2018 – January 1, 2021
Mountain View, California
NinthDecimal
Lead Platform Software Engineer
April 1, 2015 – November 1, 2017
Mountain View, CA
StormGeo Shipping - Applied Weather Technology
Software Engineer
June 1, 2012 – April 1, 2015
Sunnyvale, CA
TeleCommunication Systems
Software Engineer
February 1, 2011 – June 1, 2012
ATLAS experiment at LHC
Postdoctoral Researcher
January 1, 2007 – August 1, 2010
Fermilab
Postdoctoral Researcher
January 1, 2007 – August 1, 2007
Northern Illinois University
Research Assistant
September 1, 2002 – January 1, 2007
HEP Laboratory of SUNY at Stony Brook
Research Assistant
June 1, 1999 – September 1, 1999
Civil Engineering Laboratory
Intern
June 1, 1998 – September 1, 1998
CEO Circle of Excellence 1H 2025 - Innovation Award
S&P Global
June 24, 2026 – Present
S&P Global Inventor
S&P Global
June 24, 2026 – Present
C++ Brainbench.com
United Latino Students Association
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background spanning academic research, software engineering, and machine learning engineering across various companies, from startups to large enterprises. This breadth of experience suggests adaptability to different organizational cultures and problem domains. While the target role is 'Data Analyst', the candidate's experience is heavily skewed towards 'Machine Learning Engineer' and 'Director of Data', indicating a potential overqualification or a need to understand their motivation for a Data Analyst role. The project diversity is strong within the ML/Data Engineering domain, but less so for pure data analysis tasks.
Soft Skills & Operational Fit
The candidate's extensive experience in leading teams and managing data departments suggests strong leadership, mentorship, and strategic planning skills. Their work on optimizing and scaling systems indicates a focus on efficiency and operational excellence. The academic background in physics and research roles implies strong analytical and problem-solving capabilities. However, the resume does not explicitly detail communication style or collaboration in a typical business context beyond team management.