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
Jasmin Schmuki is a highly respected Developer Relations Engineer at Google, specializing in Machine Learning and Artificial Intelligence, with a particular focus on Vertex AI and TensorFlow. With a strong background as a former Google Developer Expert (GDE) in Machine Learning, she is passionate about demystifying complex AI concepts and empowering developers to build innovative solutions. Jasmin actively contributes to the tech community through insightful talks at international conferences, hands-on workshops, and by creating valuable educational content such as articles and tutorials. Her work primarily focuses on bridging the gap between advanced AI research and practical developer application, making her a key figure in educating and inspiring the AI developer ecosystem. She is known for her clear explanations and her ability to connect with developers of all skill levels.
Jasmin Schmuki's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Currently spearheads developer advocacy for Google's AI and Machine Learning platforms (like Vertex AI and TensorFlow), fostering a vibrant global community, creating technical content, and enabling developers to effectively utilize Google's AI technologies.
Recognized by Google for her deep expertise, community leadership, and significant contributions to the Machine Learning ecosystem through speaking, content creation, and mentorship before joining Google full-time.
Sought-after speaker at major technology conferences globally (e.g., Google I/O, Devoxx, KubeCon, Google Cloud Summits) and online platforms, sharing cutting-edge insights on ML, MLOps, AI ethics, and developer tooling. She frequently conducts hands-on workshops to help developers gain practical skills.
Authored numerous technical articles, blog posts, tutorials, and created video content aimed at making machine learning concepts and tools (especially TensorFlow and Vertex AI) accessible to a broader audience of developers and data scientists.
Actively involved in fostering and supporting AI/ML communities, previously co-organizing meetups (e.g., GDG Zurich) and mentoring aspiring developers and data scientists in the field of artificial intelligence.
HWZ University of Applied Sciences in Business Administration Zurich - Year 2008
FHS St.Gallen University of Applied Sciences - Year 2002
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.
Sportradar is a global leader in understanding and leveraging the power of sports data and digital content for its clients around the world. They provide sports federations, news media, consumer platforms, and sports betting operators with a wide range of solutions to help grow their businesses. Their services include collecting and distributing sports data, providing audiovisual (AV) content, offering betting and gaming solutions, and safeguarding the integrity of sports through their Integrity Services.
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.