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Mark Tyneway has a diverse work experience that spans across various roles and industries.

Mark began their career in 2012 as a Research Assistant at the Center for Developmental and Behavioral Neuroscience, where they worked until an unspecified end date in 2014.

In 2014, Mark took on a role as a Research Assistant at the Centre ValBio - Stony Brook University, working for a duration of two months.

From 2015 to 2015, Mark worked as a Research Assistant at the Department of Health and Wellness Studies, contributing to research projects in that field.

In 2016, Mark joined IBM as a Watson Software Engineer. During their tenure, they built microservices to support distributed ML and NLP systems and gained experience in various programming languages and tools such as Kubernetes, Docker, Bash, Node.js, Python, Go, Elixir, Pagerduty, and Grafana. Mark worked at IBM until 2018.

Following their time at IBM, Mark joined purse.io as a Software Engineer. Mark'sresponsibilities included contributing to Bitcoin (bcoin) and Handshake (hsd) protocols, as well as working on p2p networking, key management/wallets, Ledger, mining software (CUDA), LevelDB, blockchain web apps, and DNS. In addition, they focused on writing code and building community relationships. Mark remained with purse.io until 2020.

In 2020, Mark transitioned to the role of VP of Engineering and Handshake Core Dev at London Trust Media, Inc. Mark worked on Handshake, an experimental p2p DNS root zone that can be used as a decentralized certificate authority. Mark'semployment at London Trust Media ended in August 2020.

Most recently, in 2020, Mark became a Co-founder and Systems Engineer at OP Labs, where they focused on scaling Ethereum using Optimistic Rollups and solving coordination problems. Mark also worked on starting an internet government.

Overall, Mark Tyneway has experience in research, software engineering, and systems engineering roles, with a particular interest in web3 philosophy and building people-first systems.

Mark Tyneway obtained a Bachelor of Science (B.S.) degree in Behavioral/Molecular Neuroscience from Binghamton University, where they studied from 2011 to 2015. In 2014, they also took courses in Neuroscience and Environmental Studies at Stony Brook University. From 2018 to 2025, Mark engaged in self-education, exploring various fields of study based on their current interests. Additionally, they obtained several certifications in algorithms and data structures from Coursera in 2017.