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Amy Xiao
Software Engineer, Machine Learning Infrastructure @ Snapchat
Professional Background
Amy Xiao is a dedicated and passionate engineer who is focused on merging innovative software development with scientific principles to enhance accessibility in technical fields such as mathematics and computer science. Currently, she is part of the Perception team at Snap Inc. in New York, where she specializes in Machine Learning (ML) Infrastructure. In her role, she leverages her extensive knowledge of mathematics, physics, statistics, and computer science to contribute to the cutting-edge technologies developed at Snap. Her commitment to good science and innovative software is evident in all her work.
Prior to her time at Snap, Amy amassed a wealth of experience as a software developer in various notable organizations. Her journey began at the University of Toronto, where she successfully completed her Honours B.Sc. with a specialization in Mathematics and Physics and a minor in Statistics. This strong educational foundation laid the groundwork for her professional endeavors in software development and machine learning applications.
Amy’s prominent past positions include roles at Amazon as a Software Development Engineer Intern with AWS Glue where she honed her skills in architecting scalable data solutions, and at BMO Financial Group's Finance Research and Trading Lab, where she developed applications that supported financial research. With experience at institutions like the Dunlap Institute for Astronomy & Astrophysics, she also engaged in research projects that combined her love for science and technology.
Education and Achievements
Amy Xiao's academic journey has been deeply rooted in the fundamentals of science and mathematics. She has a strong educational background, having studied at the esteemed University of Toronto. During her time there, she pursued an Honours Bachelor of Science (B.Sc.) degree with a specialization in Mathematics and Physics, complemented by a minor in Statistics. This rigorous academic training has equipped her with analytical problem-solving skills and a deep understanding of complex concepts, enabling her to excel in her professional roles.
In addition to her academic qualifications, Amy has participated in various internships and research programs that further developed her expertise in software development and machine learning. Notably, her role as a Research Student in the Summer Undergraduate Research Program at the Dunlap Institute allowed her to dive into the intersection of physics and computational techniques, showcasing her versatility as both a scientist and a developer.
Achievements
Throughout her career thus far, Amy Xiao has made significant contributions in various capacities that showcase her skills, adaptability, and dedication to technological advancement. With a firm belief in lowering barriers to understanding complex technical concepts, she endeavors to make subjects like math and computer science more approachable for a broader audience. Her software development roles at reputable institutions, including Amazon, BMO Financial Group, Kijiji (an eBay company), and Borealis AI, underscore her versatility and wide-ranging skills in the tech industry. Each position has allowed her to work on pioneering projects that blend machine learning with real-world applications.
Amy's recent endeavor at Snap aligns perfectly with her passion for innovative software solutions and her commitment to making a positive impact through technology. By being part of the Perception team, she is at the forefront of enhancing user experiences and creating tools that empower users to engage with technology in meaningful ways. Her continuous pursuit of learning and innovation positions her as a valuable asset in her field, making it an exciting time for both Amy and those who will benefit from her contributions to science and software development.