Katerina Iliakopoulou
Katerina is a senior machine learning engineer at Meta
Katerina is a senior machine learning engineer at Meta. She is working on the machine learning models that power content recommendations on the Facebook home feed and Facebook Reels, with an emphasis on cold start problems. Previously, she was a Staff Software Engineer at The New York Times, where she helped build their personalization platform as well as scaling the newsroom messaging platform so that it could send 50 million emails in under 1 minute. She holds a dual Master’s degree in Computer Science and Journalism from Columbia University. She is passionate about building intelligent machines for the media and exploring how technology can reshape information consumption. Katerina lives in New York with her husband and 1.5 year old son.
How to balance technical direction and leadership work
But as is often the case in business, priorities constantly shift and where you focus your efforts will too. So how do you strike the right balance between working on the technical direction of the business and those tasks that require you to put your leadership hat on?
Making smart investments: A framework for maximizing your ROI in technical decisions
In this talk, we're going to explore a framework for evaluating the return on investment (ROI) of complex tech decisions, illustrated with real-world examples that highlight both the traps to avoid and the paths to success. I'll share methods for pinpointing key metrics that matter, and how to design experiments or proof-of-concepts to measure ROI. Finally we will discuss the importance of staying objective and adaptable throughout the process.
