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Kris Skrinak
Global Machine Learning Segment Technical Lead at Amazon Web Services
Kris Skrinak is a highly accomplished professional in the field of machine learning and artificial intelligence, currently serving as the Global Machine Learning Technical Lead for the Amazon Partner Network (APN). Since co-founding the Machine Learning group for APN in 2017, Kris has positioned himself at the forefront of technological innovation, providing invaluable support and guidance to AWS partners aiming to harness the power of AI and machine learning across diverse sectors including finance, healthcare, telecommunications, and e-commerce. His passion for leveraging cutting-edge technologies to solve complex problems has made him a sought-after expert in the industry.
Kris began his impressive career as a Quantitative Strategist at Goldman Sachs, where he honed his skills in data analysis and predictive modeling. His transition to AI Engineering at AT&T saw him develop predictive maintenance applications, proving his adeptness at integrating machine learning into practical applications. Prior to his impactful role at Amazon, Kris served as a Computer Vision Architect at GoPro, where he contributed significantly to advancing the capabilities of computer vision technologies in consumer electronics.
In addition to his work in large corporations, Kris has also made a mark as a serial entrepreneur. He founded and successfully sold two Silicon Valley startups focused on finance and network monitoring: ClearStation and SiteRock. These entrepreneurial ventures showcase his ability to identify market needs and develop innovative solutions, further solidifying his reputation as a leader in technology entrepreneurship. His career is characterized by a dedication to fostering innovation and driving technological advancements, which is reflected in his ongoing efforts within the Amazon ecosystem.
Kris holds a Bachelor of Science degree in Mathematics and Economics from King's College, followed by a Master of Science in Computer Science from New York University. His robust educational background, combined with extensive real-world experience, provides him with a unique perspective on the intersection of technology, finance, and economics. Kris has been actively involved in various roles throughout his career, including his position as a Systems Architect at AKUshaper, where he focused on creating tailored solutions for clients, and as a Senior Software Engineer at RedBrick Health and Groundwork Open Source Solutions, where he further developed his technical expertise.
In summary, Kris Skrinak's multifaceted career is marked by leadership in machine learning and AI, entrepreneurial success, and a commitment to advancing technology for the betterment of various industries. His work not only supports APN partners in optimizing their use of AI and machine learning but also contributes significantly to the broader technological landscape. Kris's journey showcases the impact of deep expertise, innovative thinking, and a collaborative spirit in driving forward the future of technology.
