Machine learning at Pinterest | Ex-Airbnb, AI Enthusiast
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
At the sweet intersection of machine learning and infrastructure. • Graduated master student in Machine Learning Department, School of Computer Science, Carnegie Mellon University. • Languages: Java, Python, Scala. • Technologies: Elastic search, Kafka, Hive, Presto, Hadoop, Spark, Flink, MySQL, MATLAB, Stata, and Microsoft Office; Linux, Windows, Mac OS. • Knowledge: machine learning, algorithms, data structures, Graphical User Interface. • Capacity to work independently as well as a member of a diverse team of peers and professionals.
Carnegie Mellon University
Master of Science (M.S.), Machine Learning
January 1, 2016 – January 1, 2017
University of Rochester
Bachelor of Science (BS), Computer Science
August 1, 2012 – May 1, 2016
University of Rochester
Bachelor of Arts - BA, Financial economics
August 1, 2012 – May 1, 2016
Machine Learning Engineer
September 1, 2025 – Present
Engineering Manager
September 1, 2023 – December 1, 2025
Tech lead, Senior Machine Learning Engineer
July 1, 2022 – Present
Machine Learning Engineer
July 1, 2020 – April 1, 2023
Airbnb
Software Engineer - Foundational Modeling, Trust
January 1, 2018 – May 1, 2020
San Francisco Bay Area
Airbnb
Software Engineer Internship - Search Infrastructure
May 1, 2017 – August 1, 2017
San Francisco Bay Area
Amazon
Software Development Engineer Intern - Amazon Web Service Glacier Team
May 1, 2016 – August 1, 2016
Greater Seattle Area
Amazon
Software Development Engineer Intern - Community Shopping Team
May 1, 2015 – August 1, 2015
Seattle, WA
University of Rochester
Research Assistant - City Science Research Project
January 1, 2015 – May 1, 2016
Rochester, New York Area
Cornell University
Team Leader - BigRed Hackathon
September 1, 2014 – September 1, 2014
Ithaca, New York Area
University of Rochester
Research Assistant - Wine Recommendations Research Project
May 1, 2014 – August 1, 2014
Rochester, New York Area
University of Rochester
Team member - ROC-Hackathon
April 1, 2014 – April 1, 2014
Rochester, New York Area
Rochester Institute of Technology
Team Member - Google Games Contest
February 1, 2013 – February 1, 2013
Rochester, New York Area
Carnegie Mellon University Machine Learning Department 25 Anniversary
September 1, 2022 – October 1, 2022
Planning committee member together with Professor Tom Mitchell, Diane and Sharon in planning a 2-day event featuring machine learning leaders including Professor Manuela Veloso, Professor Joelle Pineau, Professor Sebastian Thrun and Professor Zoubin Ghahramani. The event had over 200 attendees and incurred great discussions.
AI-Driven Pattern Coloration
January 1, 2017 – May 1, 2017
Utilized Python, in a group of 3, to train a probabilistic factor graph that captures stylistic properties of sample patterns and implement Markov Chain Monte Carlo to suggest colorations given patterns.
Bus Transit Time Prediction
August 1, 2016 – December 1, 2017
Used Porto City bus transit data to train artificial neural networks to predict total travel time of bus route and bus arrival time at stops.
Othello AI Player
January 1, 2014 – May 1, 2014
Utilized Java, in a group of 2, to realize game rules and set up computer and human players, which implemented Heuristic MiniMax with Alpha-Beta Pruning algorithm by assigning different values to various positions on chessboard and using greedy algorithm to achieve the highest possible score at each step. Ranked 1st in class tournaments.
Game Theory II
Coursera
June 24, 2026 – Present
Justice - Harvard University
edX
June 24, 2026 – Present
Game Theory
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily skewed towards Machine Learning and backend systems, with limited explicit frontend development experience beyond a single internship project. While the candidate has worked at large, well-known tech companies, the target role of 'Frontend Developer' does not align well with the primary focus of their professional experience. The project diversity is strong in ML/backend, but not in frontend. This indicates a potential mismatch for a dedicated frontend role.
Soft Skills & Operational Fit
The candidate's experience as an Engineering Manager and Tech Lead at Pinterest suggests strong leadership, project management, and team collaboration skills. Descriptions of internship projects also indicate problem-solving and design capabilities. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is limited.