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
Stefan Cieśla is a distinguished Software Engineer at Google, specializing in machine learning and deep learning frameworks. He is a core contributor and maintainer of Keras, a popular high-level API for building and training deep learning models, and plays a significant role in its integration and development within the TensorFlow ecosystem. Stefan is known for his expertise in making complex machine learning tools more accessible and efficient for developers and researchers. His work often involves API design, framework development, performance optimization, and engaging with the open-source community to drive innovation in AI. He is passionate about democratizing machine learning and enabling cutting-edge research and applications.
Stefan Ciesla-Grain's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Plays a pivotal role in the ongoing development, maintenance, and evolution of Keras, ensuring its robustness, ease of use, and integration with TensorFlow. His contributions have impacted millions of users worldwide.
Actively contributes to the broader TensorFlow ecosystem, working on features and improvements that enhance the capabilities and performance of Google's flagship machine learning platform.
Consistently works on improving the developer experience for machine learning practitioners, focusing on intuitive API design and clear documentation for Keras and TensorFlow.
Frequently shares his knowledge and insights through tech talks, workshops, and contributions to official blogs (like the TensorFlow blog), helping to educate the community on best practices in deep learning.
University of Exeter - Year 2007
University of Geneva - Year 2009
Jean Monnet International School - Year 2005
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.
Ayora leverages AI to streamline and automate accounts receivable (AR) processes for businesses. Their platform aims to accelerate invoice payments, minimize bad debt, and enhance cash flow management through intelligent reminders, dispute resolution, and predictive payment insights. It helps finance teams save time and improve their collection efficiency.
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.