About Me
I'm a software and DevOps engineer with over a decade of experience designing scalable solutions, leading cross-functional teams, and translating complex requirements into production-grade systems.
Before engineering, I studied astrophysics, where I learned to break down complex systems, test assumptions, and let the data drive decisions. That mindset still influences how I lead projects today: communicating clearly, making pragmatic tradeoffs, and building systems that are straightforward to operate and maintain.
Outside of work, I spend my time traveling the US to hike the highest points in all 50 states — a pursuit that rewards the same patience and long-term planning as found in my engineering work. It’s a steady reminder that meaningful goals are achieved one step at a time.
Professional Experience
A summary of my roles over the past ten years, moving from research software development into engineering leadership.
DevOps & Software Engineering Lead
University of Pittsburgh, Pittsburgh, PA- Collaborate with cross-functional teams to support 6 HPC clusters serving 10,000+ researchers and $90M in funded research.
- Lead the design and deployment of new HPC services, including customer services and gateway applications.
- Advise on center-wide hiring, workload prioritization, hardware acquisition, and cost recovery.
- Manage the lifecycle of 450+ scientific software packages across a diverse technical landscape.
- Maintain observability stacks to catch issues early and ensure high service reliability.
Research Software Consultant
University of Pittsburgh, Pittsburgh, PA- Consulted with researchers and faculty to deploy and optimize software across HPC and cloud environments.
- Led technical debt remediation projects, eliminating 70% of legacy debt over two years.
- Delivered company-wide workshops on GitOps, CI/CD, testing, and workflow automation.
- Mentored 4 junior engineers in modern development practices.
Graduate Research Assistant
University of Pittsburgh, Pittsburgh, PA- Developed web, API, and CLI tools for scalable, reproducible research workflows.
- Reviewed and optimized code for reproducibility, maintainability, and efficiency.
- Engineered a cloud-based alert broker, processing 10,000+ events per day with sub-minute latency to coordinate observations across a global telescope network.
Education
Professional Engagement
Planning projects, building software, and analyzing data to support the world's largest optical telescope.
Mentor UConn undergraduate students on professional networking and career goals.
Conferences & workshops.
I get to work with amazing engineering teams from around the world. Here are some recent conferences and workshops where we may have already met.
- NovSuper Computing 2025
- JulPractice and Experience in Advanced Research Computing
- MarNvidia GTC (San Jose)
- NovSuper Computing 2024 (Atlanta)
- NovSuper Computing 2023
- JulPractice and Experience in Advanced Research Computing
- NovSuper Computing 2022
- AugRubin Observatory Project & Community Workshop
- AugDESC Bi-Annual Meeting
- FebDESC Bi-Annual Meeting
- NovSuper Computing 2021
- NovLSST Broker Technical Workshop
- AugRubin Observatory Project & Community Workshop
- JulDESC Bi-Annual Meeting
- AprLSSTC Enabling Science Broker Workshop — Part II
- FebDESC Bi-Annual Meeting
- OctLSSTC Enabling Science Broker Workshop — Part I
- AugRubin Observatory Project & Community Workshop
- JulDESC Bi-Annual Meeting
- JanDESC Meeting Photo
- SepTOM Toolkit Workshop Photo
- SepMidwest Workshop on Supernovae & Transients
- AugLSST Project & Community Workshop Photo
- JulTheoretical-Experimental Project on QCD
- JulDESC Meeting Photo
- MayPITT-PACC Phenomenology Symposium
- FebDESC Meeting Photo
- FebDESC Broker Workshop
- FebUConn Astro-Lunch Seminar Series Photo
- JanThe Future of SN Host Galaxy Studies
- JulSci-Coder Development Workshop
- JunSummer School in Statistics for Astronomers Photo
- MayPITT-PACC Phenomenology Symposium
