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ML Engineering @ Reddit (Ad Ranking/Content Understanding/LLMs) | Ex-MSFT, Ex-Snapchat
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 machine learning engineer/applied scientist with experience in developing ML solutions end-to-end, for both cloud and on-device scenarios. • Content understanding and ads ranking • NLP/NLU, finetuning/evaluating LLMs • Data science and applied statistics
University of Washington
Master of Science - MS, Data Science
January 1, 2017 – January 1, 2019
University of Michigan
Master of Science (MS), Aerospace Engineering
January 1, 2012 – January 1, 2014
UCLA
Bachelor of Science (BS), Aerospace Engineering
January 1, 2007 – January 1, 2012
Reddit, Inc.
Senior Machine Learning Engineer
March 1, 2026 – Present
Seattle, Washington, United States
Snap Inc.
Machine Learning Engineer
September 1, 2024 – February 1, 2026
Seattle, Washington, United States
Microsoft
Senior Data & Applied Scientist
September 1, 2022 – September 1, 2024
Microsoft
Data & Applied Scientist II
March 1, 2020 – September 1, 2022
Microsoft
Data & Applied Scientist
February 1, 2019 – March 1, 2020
Microsoft
Data Science Intern
June 1, 2018 – August 1, 2018
Greater Seattle Area
Clobotics
Machine Learning Engineer/Data Science Intern
November 1, 2017 – May 1, 2018
Greater Seattle Area
Space Systems Loral
Spacecraft Propulsion Analysis/Development Engineer
September 1, 2014 – March 1, 2017
Palo Alto, CA
University of Michigan
Graduate Student Research Assistant
June 1, 2013 – May 1, 2014
University of Michigan at Ann Arbor
Space Systems Loral
Propulsion Intern
July 1, 2011 – August 1, 2012
Palo Alto, CA
Natural Language Processing Specialization
Coursera
June 24, 2026 – Present
Machine Learning Specialization
Coursera
June 24, 2026 – Present
Big Data Specialization
Coursera
June 24, 2026 – Present
Deep Learning Specialization
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily skewed towards Machine Learning Engineering and Data Science, with a strong focus on NLP and model development. While these skills are valuable, the target role is 'Data Analyst'. This suggests a potential mismatch in the primary focus of work. The candidate's experience is more aligned with building and deploying models rather than traditional data analysis, reporting, or dashboarding. The breadth of skills is strong within ML/DS, but less diverse in pure data analysis tools or business intelligence. The candidate has worked in large, established tech companies, which suggests an ability to thrive in structured environments.
Soft Skills & Operational Fit
The candidate's resume highlights a progression through increasingly responsible roles, indicating strong growth potential and adaptability. The descriptions of work at Microsoft, Snap, and Reddit suggest an ability to work on complex, impactful projects and contribute to product features. The lack of specific project details or direct communication samples makes it difficult to assess collaboration or leadership styles directly, but the career trajectory implies operational effectiveness.