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Pavlo Bayborodin is an experienced engineering leader and researcher with a strong background in machine learning, artificial intelligence, and large-scale distributed systems. He currently serves as the Director of Engineering at Stability AI, where he leads teams in developing and scaling cutting-edge generative AI models and infrastructure. Prior to Stability AI, Pavlo made significant contributions at Meta (Facebook AI Research) as a Research Engineering Manager, focusing on areas like PyTorch, and at Twitter, where he worked on machine learning infrastructure. His expertise spans deep learning frameworks, MLOps, and building high-performing engineering teams to tackle complex AI challenges. Pavlo is passionate about advancing the field of AI and translating research breakthroughs into impactful products.
Pavlo Bayborodin's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Leads and scales engineering teams focused on developing and deploying state-of-the-art generative AI models, significantly contributing to Stability AI's product offerings and research advancements.
Managed and contributed to research engineering efforts within Facebook AI Research, particularly in areas related to PyTorch and foundational AI models, bridging the gap between research and production.
Developed and improved machine learning infrastructure and platforms at major tech companies like Twitter and Meta, enabling faster iteration and deployment of ML models at scale.
Deep involvement in the research and application of deep learning, with a current focus on generative models, pushing the boundaries of what's possible in AI-driven content creation and understanding.
National Technical University of Ukraine Kiev Polytechnic Institute - Year 1998
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Blynk is a comprehensive Internet of Things (IoT) platform designed to simplify the process of connecting hardware to the cloud, building mobile and web applications to control and monitor these devices, and managing deployed products. It offers a low-code/no-code environment with a drag-and-drop interface for app creation, supports a wide range of microcontrollers and hardware (like ESP32, Arduino, Raspberry Pi), and provides robust cloud infrastructure, device management, data analytics, and OTA firmware updates. Blynk is popular among hobbyists, developers, and businesses for prototyping and scaling IoT solutions across various industries, from smart home to industrial automation.
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