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Matthew Gattis
Co-founder and CTO at Hunch Inc.
Professional Background
Matthew Gattis is a seasoned expert in the realms of artificial intelligence and machine learning, boasting a wealth of knowledge and experience that spans various sectors of technology. With a distinguished history that includes pivotal roles at notable organizations, Matthew has made significant contributions to fields such as recommendation engines and collaborative filtering. As a former Principal Member of Technical Staff at eBay, he played a crucial role in developing robust technical strategies that enhanced user experience and optimized operations.
Matthew co-founded Hunch Inc., where he served as Chief Technology Officer (CTO) and was at the forefront of innovations in machine learning. His leadership there has had a lasting impact on how users receive personalized content online. His background also includes programming roles at SiteAdvisor, where he honed his skills in web development and user safety, building systems that integrated smoothly with existing platforms to enhance browsing experiences.
Beyond his experience at individual companies, Matthew has an impressive skill set encompassing many areas integral to computer science and technology, such as programming languages, algorithms, and data mining. His deep understanding of both front-end and back-end web development allows him to contribute to projects that require collaborative efforts across various teams.
Education and Achievements
Matthew Gattis pursued his undergraduate studies at the Massachusetts Institute of Technology (MIT), graduating with a Bachelor of Science in Electrical Engineering and Computer Science. His education at such a prestigious institution laid a strong foundation for his future endeavors, equipping him with essential skills and knowledge that he has effectively applied throughout his career.
At MIT, he delved into complex subjects such as probability & statistics, operating systems, and information theory — all of which are critical to his current expertise in artificial intelligence and machine learning. The rigorous academic environment fostered his ability to think critically and solve challenging problems, assets that have been instrumental in his professional journey.
Achievements
Matthew Gattis's career is marked by numerous achievements that highlight his technical proficiency and innovative spirit. His expertise in artificial intelligence and natural language processing has allowed him to implement sophisticated algorithms that enhance how machines understand and process human language, making vast strides in technology that supports everyday applications and systems.
At eBay, his influence as a Principal Member of Technical Staff contributed to streamlining complex operations through artificial intelligence, impacting millions of users worldwide. Under his technical leadership at Hunch Inc., Matthew played a pivotal role in developing recommendation systems that have transformed user engagement by providing tailored content based on individual preferences.
Matthew continues to stay abreast of emerging technologies in fields such as optimization, micro-controller design, and signal processing, illustrating his commitment to continual learning and professional growth. His contributions to the industry underscore a dedication not only to technical excellence but also to collaborative innovation in the tech community.