About

Sam Skalicky is a Senior Software Development Engineer III at Amazon, specializing in the MXNet Deep Learning Framework and Amazon Go. He has over 7 years of relevant experience in the field. Sam graduated with a PhD in Computing & Information Sciences from the Rochester Institute of Technology (RIT) in May 2015, after completing his Bachelor's degree in Computer Engineering from the same institution in 2010. He has also completed his required liberal arts concentration in Japanese. Sam's previous work experience includes a 1-year Test Engineering Coop position at Cisco during his undergraduate studies. He has also competed in several design competitions, including the Freescale Make It Challenge, IEEE Student Design Contests, and The Renesas Design Contest. Sam has been a contributor and mentor for members of the RIT Robotics Club since 2007. Sam is a proficient Software Engineer with expertise in Deep Learning and testing. He is also skilled in Sagemaker. Sam's technical stack is diverse and constantly evolving. Sam has previously held positions at Amazon as a Sr. Software Development Engineer III, working on the MXNet Deep Learning Framework, TVM Deep Learning Compiler, and Amazon SageMaker Neo. Prior to this, he worked as a Software Development Engineer II, also on the MXNet Deep Learning Framework and Amazon Elastic Inference. Sam is a native English speaker, with an intermediate read/write/speak/listening ability in Korean.