Machine Learning, Search Relevance and AI 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
I deliver Machine Learning models into real-time, production systems serving millions of unique customers.
Case Western Reserve University
Doctor of Philosophy (Ph.D.), Astrophysics
January 1, 2012 – January 1, 2017
San Diego State University
M.S., Astrophysics
January 1, 2010 – January 1, 2012
Michigan State University
B.S., Astrophysics
January 1, 2006 – January 1, 2010
Dropbox
Machine Learning Engineer
June 1, 2024 – Present
Box
Senior Machine Learning Engineer
February 1, 2021 – June 1, 2024
PlayStation
Senior Machine Learning Engineer
August 1, 2017 – February 1, 2021
San Francisco Bay Area
Case Western Reserve University
Researcher/Teaching Assistant
September 1, 2012 – August 1, 2017
San Diego State University
Teaching Assistant, Research Assistant
August 1, 2010 – August 1, 2012
Kaggle Projects
January 1, 2015 – Present
Various Kaggle Competitions that I have been involved with over the years.
Triplebyte Certified Data Scientist
Triplebyte
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong background in Machine Learning Engineering across several prominent tech companies (Dropbox, Box, PlayStation). While the target role is 'Data Analyst', the candidate's experience is heavily skewed towards ML Engineering, which is a more specialized and advanced field. This suggests a potential mismatch in the specific day-to-day responsibilities and expectations of a typical Data Analyst role, which often focuses more on reporting, dashboarding, and business intelligence rather than model development and deployment. The 'Kaggle Projects' indicate a personal interest in data science, but the professional experience is primarily ML. The breadth of skills is strong within ML, but less explicit in traditional data analysis tools and methodologies.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight a results-oriented approach, evidenced by quantifiable improvements in various projects. Mentorship experience at Box suggests leadership potential. The academic background implies strong research and analytical capabilities. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.