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Experience

Senior Manager, Software Engineering — Fortune 50 Company

2022–2025

  • Managed the core development org (5–12 engineers) responsible for business-critical backend systems, ensuring high availability and performance.
  • Led on-call and incident response for production systems; serious incidents were escalated to company leadership.
  • Continued to be hands-on: authored and reviewed Go services, led architecture reviews, owned on-call incident triage, and shipped automation used in production.

Manager, Software Engineering — Fortune 50 Company

2020–2021

  • Maintained uptime and service quality for systems with company-level impact; led incident response when needed.
  • Served as the subject-matter expert for the team’s primary critical application, providing architectural direction and troubleshooting.
  • Balanced people management with active technical contribution (code reviews, performance work, and tooling).

Senior Engineer — Fortune 50 Company

2017–2020

  • Led development and maintenance of a primary production application and several supporting tools to improve reliability and correctness.
  • Built automation and observability to reduce toil and speed diagnostics.
  • Technologies: Go, Kubernetes, Docker, Vue.js, Lua, Python.

Software Engineer — Cloud Platform & Open Source

2016–2017

  • Built scalable backend services in Go and React frontends for internal dashboards.
  • Contributed to open-source projects (including Cloud Foundry Loggregator) to improve logging and metrics pipelines.
  • Implemented CI/CD, testing, and performance improvements for platform services.

Senior Firmware Engineer — Global Storage Manufacturer

  • Designed firmware algorithms running on HDD controllers to support servo calibration, head positioning, and signal processing.
  • Implemented on-drive servo calibration firmware and built Python/Matlab/C tools for calibration visualization, data collection, and automated testing.
  • Improved manufacturing yield and reliability through control-loop and calibration optimizations.

Education

  • M.S., Computer Science — emphasis on high-performance and scientific computing
  • B.S., Mathematics — emphasis pure math (abstract algebra, number theory, combinatorics)
  • B.S., Computer Science — emphasis compiler design, HPC, and distributed systems