An engineer with a Masters in Computer Science from USC and over 20 years of experience building hardware and software products, Vrajesh's first encounter with Machine Learning involved writing algorithms to guide self-driving cars in 2001. Since then, he built core components for iOS & macOS like data protection, Dtrace & LLVM/clang at Apple. Through several roles in technology and product, he went on to build the Machine Learning business unit at Arm, powering billions of devices with ONNX, TinyML and more, eventually diving into Kubernetes & Reinforcement Learning at Scaled Inference. He holds eight patents in distributed systems, data and security.
A technologist with a PhD in distributed systems and optimization from Georgia Tech, Priyanka has spent over 10 years as a software engineer at the forefront of cloud-native technologies. Priyanka was one of the foundational engineers to build out VMware's hybrid cloud product offering, which is now a billion dollar business. Her initial introduction to distributed systems was through an undergraduate project where she had to map out the network topology of her college campus network. Since then, she has loved geeking out on how to build resilient inter-connected systems and building things that simplify the operational experience of managing complex systems at scale.
A marketing leader with 15 years of experience, Ashley started her career at Google in the early days of digital advertising. Since then, she has built successful GTM orgs, from startups to the Fortune 500. Her experience includes managing engineers in building and maintaining API-based ad systems, so unlike many marketers, she personally knows the pain of being paged in the middle of the night with business critical outages. Most recently, she served as CMO of Transposit. She holds a BA with Honors and Distinction from Stanford University and is a proud advocate of bringing the humanities to tech with a particular penchant for DevOps haikus.