Engineering the Future of Software
Feb 3–4, 2019: Training
Feb 4–6, 2019: Tutorials & Conference
New York, NY
Aikaterini Iliakopoulou

Aikaterini Iliakopoulou
Senior Software Engineer, The New York Times

Katerina Iliakopoulou is a senior software engineer within the Personalization Group at the New York Times, where she builds recommender systems. She’s interested in machine learning, information retrieval, and system design—especially if they are applied in a news media context. In her two years at the New York Times, she’s led the architectural design of one of the team’s main frameworks for serving recommendations and worked on a variety of projects that facilitate the use of recommendations on the New York Times’s platforms, either by building microservices or collaborating with data scientists to productionalize recommender models.

Sessions

3:50pm–4:40pm Tuesday, February 5, 2019
Application architecture
Location: Trianon Ballroom
Secondary topics:  Case Study
Aikaterini Iliakopoulou (The New York Times)
Average rating: ****.
(4.64, 14 ratings)
When personalizing for news platforms, you must pay attention to both the audience and the content. Much like most software architecture systems, readers and news content should not be treated as a monolith. Katerina Iliakopoulou details the architecture of a system that facilitates agile personalization on the New York Times’s platforms to accommodate fast A/B testing. Read more.