Katerina Zanos
Machine Learning Engineer at nytm, newsdev NYTimes
New York, New York, United States
Summary
👤
SeniorKaterina Zanos is a Principal Machine Learning Engineer with 12 years of experience building production recommender systems and ML platforms for media at scale. She currently leads recommendations at ESPN (The Walt Disney Company), owning retrieval, ranking, experimentation and responsible guardrails to deliver timely, relevant sports experiences. Previously she shaped Feed and Reels personalization at Meta and led personalization and newsroom platform initiatives at The New York Times, blending deep learning (two-tower networks, graph models) with pragmatic production engineering. Katerina holds dual Master’s degrees in Computer Science and Journalism from Columbia, giving her a distinctive view on content, distribution, and trust. She focuses on human-centric ML that optimizes long-term value rather than short-term engagement and mentors engineers to improve ownership and delivery quality. A background spanning newsroom tooling, social-media research projects, and robotics underscores her appetite for cross-disciplinary problems where ML meets real-world information flows.
12 years of coding experience
Github Skills (24)
twitter9
http-server8
kafka8
pubsub8
google-app-engine7
go7
google-cloud6
appengine5
microservices5
universe5
golang4
gcp4
cloud-storage4
api3
simulation3
Programming languages (4)
Github contributions (5)
MKLab-ITI/mklab-stream-manager
Oct 2013 - Jun 2014
Monitors a set of social streams (e.g. Twitter status updates) and collects the incoming content.
Contributions:138 commits in 8 months
twitter
matzika/article-tagger-system
Jan 2016 - May 2016
Contributions:14 commits, 13 pushes, 1 branch in 3 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.