ML Platform & Feature Store in Skyscanner
Speaker

Fedor Bystrov is a dedicated software engineer who plies his trade at Skyscanner, a leading travel fare aggregator website. Known for his inquisitiveness and analytical mindset, Fedor’s key professional responsibilities revolve around procuring innovative ways to enhance the platform and feature storage of the website. He possesses vast knowledge about machine learning platforms and is constantly looking for methods to improve this field from a Cert point of view.
In addition to his passion for engineering, Fedor is also a skilled orator who is comfortable presenting talks about his work. His interactions often involve insightful comparisons and discussions seeking to elevate his team's efficiency and effectiveness. Fedor also prides himself on his leadership skills, often taking the initiative in team projects, guiding the agenda, and making significant contributions to his team's achievements at Skyscanner.
SUMMARY
Fedor Bystrov takes us through the platform and feature store at Skyscanner, giving an in-depth overview and comparison, and discussing potential areas for improvement. Fedor covers the architecture of the machine learning platform, ML Platform, and Kaleidoscope, the feature store developed internally at Skyscanner. Throughout the discussion, he highlights the challenges, solutions, and potential enhancements for these products. Tune in for a deep dive into the inner workings of machine learning platforms and feature stores at Skyscanner.

