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
Matthew Bujnicki is a highly accomplished and experienced Staff AI Engineer, currently contributing his expertise at Google. With a strong background in deep learning, computer vision, and generative AI, Matthew has a proven track record of developing and deploying cutting-edge artificial intelligence solutions. His career spans significant roles at major technology companies, including NVIDIA, where he made substantial contributions to AI research and product development. Matthew is passionate about leveraging large-scale data and advanced machine learning models to solve complex real-world problems and drive innovation in AI. He is adept at the full lifecycle of AI model development, from research and prototyping through to production deployment and MLOps.
Matthew Bujnicki's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Currently developing and scaling advanced AI models and systems, focusing on areas likely including generative AI, large language models, or computer vision, contributing to Google's core AI initiatives.
Played a key role in developing and optimizing deep learning frameworks and applications, contributing to NVIDIA's leadership in AI hardware and software ecosystems. Worked on projects related to computer vision and autonomous systems.
Consistently worked on the forefront of AI, contributing to projects that push the boundaries of what's possible in generative models and visual understanding systems across his career.
Engaged with the AI community through publications, open-source contributions, or sharing knowledge, helping to advance the field. (Note: Specific publications or talks would be listed if readily available and prominent).
University of California, Berkeley, Haas School of Business - Year 2014
IESE Business School - Year 2015
Babson College - 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.
WorkRamp is an all-in-one Learning Management System (LMS) that helps businesses onboard, train, and develop their employees and customers. It provides tools for creating engaging learning content, tracking progress, and measuring the impact of training programs. WorkRamp aims to transform learning into a growth engine for organizations of all sizes.
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