Michael Vasilkovsky Traded Research For Real-World GenAI and Is Now Transforming Content Creation | HackerNoon
Briefly

Michael Vasilkovsky, a Technical Lead at Snap specializing in generative AI, has made significant strides in transforming digital experiences. His career began in academic research focusing on computer vision, where he published notable work but realized the gap between research and practical consumer products. Joining Snap in 2021 during a surge in augmented reality, he shifted his focus to foundational 3D models in generative AI, aiming to streamline the asset creation process that can traditionally take over 40 hours. His work emphasizes the importance of translating research into user-friendly applications.
Vasilkovsky's trajectory began in academic research, where he first encountered computer vision challenges that demanded more than conventional machine learning solutions.
Translating research into something consumers find intuitive and valuable is a real challenge; you not only need a brilliant model but also optimization and robust infrastructure.
His journey spans top-tier research, hands-on product development, and leadership roles, culminating in innovations that serve an expansive user base.
Vasilkovsky set his sights on foundational 3D models, exploring how generative AI could revolutionize asset creation, which traditionally takes over 40 hours.
Read at Hackernoon
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