Multithread effectively and personalize outreach to convert deals faster
Elevate social presence and drive business growth from social media
Identify and prioritize high-intent leads, and improve sales effectiveness
Find and connect with ICP attendees, and improve event outcomes
Ostap Hel is a distinguished Machine Learning Engineer at Hugging Face, renowned for his pivotal contributions to the open-source AI community. He specializes in deep learning, particularly in the realm of generative models and diffusion techniques. Ostap is a key figure behind the widely adopted `diffusers` library, which has significantly democratized access to state-of-the-art image, audio, and 3D generation models. His work involves developing, optimizing, and making cutting-edge machine learning models accessible to developers and researchers worldwide. He is passionate about advancing AI through open collaboration, creating powerful tools, and educating the community through code, examples, and technical discussions. His expertise spans across natural language processing and computer vision, focusing on practical applications and efficient model deployment.
Ostap H.'s work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Led and significantly contributed to the development of Hugging Face's `diffusers` library, a leading open-source toolkit for diffusion models. This library empowers users to easily train, experiment with, and deploy models for image, audio, and 3D generation, including popular models like Stable Diffusion.
Plays a crucial role in making state-of-the-art generative AI models and techniques (like Dreambooth, Textual Inversion, ControlNet integrations) accessible through practical implementations, clear documentation, and active community engagement within the Hugging Face ecosystem.
Actively shares knowledge and insights through technical blog posts, conference talks, workshops, and by providing support within the Hugging Face community, helping to educate and onboard thousands of users to advanced AI concepts and tools.
Contributed to efforts in optimizing large-scale AI models for efficiency and wider accessibility, enabling their use on more diverse hardware and by a broader range of developers and researchers.
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
Bank of America is one of the world's leading financial institutions, serving individual consumers, small and middle-market businesses, and large corporations with a full range of banking, investing, asset management, and other financial and risk management products and services. The company provides unmatched convenience in the United States, serving approximately 69 million consumer and small business clients with Pproprietary technology enabling a leading digital banking experience.
Get verified emails, phone numbers, and LinkedIn profile details
Discover contacts with similar roles, seniority, or companies
Uncover insights like skills, work history, social links, and more
Explore contacts in-depth — from verified emails and phone numbers to LinkedIn activity, job changes, and more — all in one powerful view.
Highperformr AI helps you surface the right people and enrich your CRM with live, accurate contact insights so your teams can connect faster and close smarter.
Thousands of contacts — including decision-makers, influencers, and ICP matches — are just a search away.
Thousands of companies, including, are just a search away.