Mark Tyneway

Mark Tyneway has a diverse work experience spanning several industries. Mark began their career as a Research Assistant at the Center for Developmental and Behavioral Neuroscience in 2012, where they worked until 2014. Mark then joined the Centre ValBio - Stony Brook University as a Research Assistant for a brief period in 2014. In 2015, they worked as a Research Assistant at the Department of Health and Wellness Studies for a short duration.

In 2016, Mark joined IBM as a Watson Software Engineer, where they built microservices to support distributed ML and NLP systems. Mark'sresponsibilities included working with Kubernetes, Docker, and various programming languages such as Bash, Node.js, Python, Go, and Elixir. Mark also gained experience with tools like Pagerduty and Grafana during their tenure at IBM.

Mark's next role was as a Software Engineer at purse.io from 2018 to 2020. At purse.io, they contributed to the development of Bitcoin (bcoin) and Handshake (hsd), showcasing their expertise in p2p networking, key management, wallets, mining software, and blockchain web apps. Mark also had knowledge of LevelDB and DNS.

In 2020, Mark joined London Trust Media, Inc. as the VP of Engineering for Handshake Core Dev. Mark'swork involved exploring Handshake, an experimental p2p DNS root zone that could be used as a decentralized certificate authority. Mark worked on this role until August 2020.

Mark co-founded OP Labs in 2020 and also served as a Systems Engineer. Mark'sfocus was on scaling Ethereum using Optimistic Rollups and solving coordination problems. Mark has a strong interest in web3 philosophy and designing people-first systems.

Overall, Mark Tyneway has a diverse skill set, ranging from research and academia to software engineering and systems development. Mark has experience in blockchain technology, p2p networking, microservices, and a wide range of programming languages and tools.

Mark Tyneway began their education in 2011 at Binghamton University, where they earned a Bachelor of Science (B.S.) degree in Behavioral/Molecular Neuroscience in 2015. In 2014, they also briefly attended Stony Brook University, with a focus on Neuroscience and Environmental Studies.

After completing their formal education, Mark pursued self-education starting in 2018 and continuing until 2025. During this period, they explored various fields of study based on their personal interest at the moment.

In addition to their formal education, Mark obtained several certifications through online learning platform Coursera. In 2017, they completed courses and obtained certifications in "Algorithms on Graphs," "Algorithms on Strings," "Data Structures," and "Algorithmic Toolbox."