Ethan McCarthy

Led the design, architecture, development and maintenance of several major scalable financial services software systems. Worked with C# dotnet, Node, TypeScript, Python, MongoDB, Terraform, AWS, Vue, and many other technologies. Selected accomplishments: • Migrated organization from months-long release cycles to Continuous Integration/Continuous Delivery (CI/CD) • Introduced to the organization and spearheaded adoption of: - Event Storming and User Story Mapping techniques for effective design of solution architectures - Acceptance Test Driven Development and automated testing - Frontend unit testing - Feature flagging and dark launching practices • Helped revamp a brittle, low-value legacy automated test suite to a well designed, robust and reliable test suite, allowing organization to scale back expensive manual testing cycles • Introduced use of Team Topologies methodologies for technical organization design, and assisted in migrating organization from big-bang, coordination-heavy topologies to small, value-focused, service-oriented teams • Helped transition organization from an outsourced IT-services model of development to an engineering culture where empowered developers contribute to the design of innovative solutions and delivery of value to the customer • Worked closely and respectfully with developers in a hands-on Lean approach: leading with context to empower developers, including juniors, to take responsible control over technical design, architecture, coding practices, and testing

Team lead on development of a large, full-stack, enterprise operational web platform in the medical billing space. Worked with Python, MySQL, AWS, Docker, TypeScript, Node, React, and Vue. Provided strong leadership within the development team. Led technical and architectural design. Analyzed business needs and collaborated closely with external business partners to deliver effective and high-quality solutions.

Led development of a mobile software product for an e-bike platform. Worked in Java, C++, Python, and React/TypeScript. Worked with Google Cloud Platform, AWS IoT, and Android. Contributed custom machine-learning and computer vision algorithms. Provided strong leadership, architectural, and technical skills, delivering pragmatic and timely solutions to satisfy complex business needs.

Post-doctoral position performing research in computer science and symbolic logic. Organized seminars and published in leading research journals. Displayed skills in leadership, communication and presentation, teaching, technical analysis, programming, and written and verbal communication. Leveraged programming extensively in both research and teaching, including Python, Node, TypeScript, React, MATLAB, SBCL, Coq and OCaml.

Taught programming concepts to young students using Python. Answered student questions and provided detailed and encouraging feedback. Provided strong mentoring skills and an ability to break down advanced technical concepts into an easily digestible format.

Assisted students learning complex technical concepts. Worked in-person, in group settings, and developed teaching curriculum. Communicated advanced concepts quickly and effectively. Led and trained other teaching assistants. Displayed strong teaching, communication, speaking and presentation skills. Leveraged programming extensively in both research and teaching, including C++, Python, Node, TypeScript, React, MATLAB, Wolfram Mathematica, and R.

Research topics in theory of algorithms and computation, computability and complexity, algorithmic information theory and randomness. Minor in mathematical analysis. NSF Graduate Research Fellowship awardee (2014) and Head Teaching Assistant.

Specialty topic in algorithmically random paths of Brownian motion.

Research topics in combinatorics and symbolic dynamics.