Competitions: Beyond the Kaggle Leaderboard - Tatiana Habruseva

About this episode

Tatiana Habruseva discusses her transition from academic physics to a successful career in machine learning competitions and shares strategies for leveraging these competitions for career advancement.

In this talk, Tatiana, Staff Software Engineer at LinkedIn, shares her journey from academic physics to becoming a Kaggle Master and winning the Sound Demixing Challenge. We explore how to use machine learning competitions as a strategic tool to build a high-impact career and bridge the gap between theory and production.You’ll learn about: Turning competition code into professional GitHub repos. Converting results into papers for NIPS and CVPR. How LLMs are changing the benchmark for AI competitions. Why hands-on implementation beats passive learning. Using Topcoder and AI Crowd for research-driven goals. Practical steps for your very first model submission.Links: Rise: 3 Practical Steps for Advancing Your Career, Standing Out as a Leader, and Liking Your Life. By Patty Azzarello https://www.porchlightbooks.com/pages/author/Patty_Azzarello-16156396 - awesome book about why doing good is not enough, and what else you need to do to promote your career (same applies to competitions) AICrowd - https://www.aicrowd.com/challenges Grand challenges - https://grand-challenge.org/challenges/ Kaggle competitions - https://www.kaggle.com/competitions TopCoder challenge SpaceNet 9…

People in this episode

Guest: Tatiana Habruseva

Topics covered

• machine learning competitions
• career development
• Kaggle
• AI competitions
• hands-on implementation
• research-driven goals

Keywords

• Kaggle Master
• Sound Demixing Challenge
• GitHub repos
• model submission
• AI Crowd
• Topcoder
• competition code
• NIPS
• CVPR

Mentioned in this episode

Organizations: LinkedIn, Kaggle, Topcoder, AI Crowd, NIPS, CVPR, Medium

Books & works: Rise: 3 Practical Steps for Advancing Your Career, Standing Out as a Leader, and Liking Your Life

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