Person

Tatiana Gabruseva

Computer vision and deep learning engineer connecting Kaggle practice, academia-to-industry transition, and staff-level AI career growth.

Background

Tatiana Gabruseva is a Computer Vision and Deep Learning Engineer and Kaggle Competitions Master. Her source bio notes her role as a Senior ML Engineer at Cork University Hospital.

Podcast Contributions

• Switch to Computer Vision and Deep Learning connects physics, Kaggle projects, mentorship, and interview preparation.
• Competitions: Beyond the Kaggle Leaderboard extends the competition-learning thread beyond rankings.
• Transitioning from Academia to Industry as a Staff AI Engineer contributes evidence on staff-level interviews, onboarding, MLOps, and career growth.

Concepts Connected

• computer vision, deep learning, and machine learning for the technical arc.
• career transition, career growth, and academia for moving into industry roles.
• MLOps and staff AI engineer for senior-practitioner expectations.

Source Links

• Person source: ../datatalksclub.github.io/_people/tatianagabruseva.md
• Podcast sources: ../datatalksclub.github.io/_podcast/from-physics-to-computer-vision-career-transition.md, ../datatalksclub.github.io/_podcast/s24e01-competitions-beyond-kaggle-leaderboard.md, ../datatalksclub.github.io/_podcast/from-academia-to-staff-ai-engineer-interviews-and-career-growth.md

Podcast Discussions

• Transitioning from Academia to Industry as a Staff AI Engineer: Interview Prep, MLOps & Onboarding. Related topics: machine learning, career transition, MLOps, staff AI engineer, career growth.
• Switch to Computer Vision & Deep Learning: Roadmap, Kaggle Projects, Mentors & Interview Prep. Related topics: career transition, physics, deep learning, machine learning, career growth, academia, mentorship.
• Competitions: Beyond the Kaggle Leaderboard.