Linux-first platform engineer for real systems.
I build the platform layer where enterprise software teams actually work: GitHub Enterprise, Actions workflows, self-hosted runners, Terraform provisioning, cloud environments, release paths, compliance evidence, and Linux-first systems that can be operated for real.
Hire me for
I am strongest when a problem needs someone who can move between infrastructure, code, devices, product judgment, and operations without losing the plot.
Senior Platform Engineer, DevOps Engineer, Site Reliability Engineer, Infrastructure Engineer, Cloud Infrastructure Engineer, Developer Experience Engineer, Release Engineer.
Map the software delivery system, stabilize version control and continuous integration workflows, clean up infrastructure modules, clarify release paths, and give leadership a concrete operating plan.
I turn the actual developer platform into dependable machinery that teams can use without constant tribal knowledge. GitHub Enterprise, GitHub Actions, Actions self-hosted runners, Backstage, JFrog Artifactory, SonarQube, Grafana, GitHub Copilot, repository standards, and org settings.
I provision infrastructure with repeatable modules, clear standards, sensible state boundaries, and fewer mysteries for the next operator. Terraform, AWS, GCP, Docker, Amazon ECS, AWS Fargate, LocalStack, IAM, CloudFront, and multi-region service patterns.
I help teams ship faster with less edges and errors, making the delivery path easier to reason about. GitHub Actions, Actions self-hosted runners, JFrog Artifactory, SonarQube, Grafana, Terraform, Docker, LocalStack, release gates, and audit-friendly evidence.
I'm comfortable working with board-level platforms from microcontrollers to embedded Linux devices.Embedded Linux, Raspberry Pi, NVIDIA Tegra/Jetson-class systems, TensorFlow, Docker, device portals, Arduino-class controllers, GPIO, UART, SPI, I2C, and JTAG.
Experience highlights
I move comfortably between platform operations, product engineering, cloud architecture, compliance support, real-time media, and embedded devices. The through-line is practical ownership: understand the system, ship the missing piece, and make it easier to run.
Work with organizations like The College Board and eXp Realty, where the blast radius is real: enterprise platforms, compliance pressure, multi-team workflows, multi-region systems, and delivery paths that have to keep working.
Delivered and operated software delivery layers and developer experience in established company environments: version control administration, CI workflows, self-hosted runner services, infrastructure-aware platform work, operational dashboards, service catalogs, code quality checks, and artifact workflows.
Architected and delivered multi-region communications network for audio, video, and data with 1000+ same-room concurrent users and infrastructure bearing real-time operational load.
Separated the communications platform from its first internal use case and shaped it into a whitelabel offering that could be sold to business customers, and architected upstream version-locked development of bespoke downstream code.
Delivered independently inside regulated, multi-team environments by turning control requirements into practical implementation: traceable changes, evidence-friendly workflows, data-aware engineering, and systems that can pass review without slowing the team to a crawl.
Work in smaller environments like Signal Garden, where the job is to connect product sense, infrastructure, devices, demos, operations, and code that advances business negotiations by turning a conversation into a working proof point.
At Signal Garden, took on the practical technical work a young company needs: infrastructure, deployment paths, operating procedures, demos, integrations, product support, and the connective tissue between idea, customer conversation, and working system.
Delivered multiple AR appplications where product experience, device capability, content, and mobile implementation had to meet in a useable demos and polished products.
Shipped an advertising system on embedded Linux with GPU-backed local inference, connecting model runtime, device management, and deployment concerns on NVIDIA Tegra-class hardware.
Wrote the demos, integrations, and small tools that made conversations and negotiations with partners or customers concrete enough to evaluate, iterate, and move toward a real decision.
Outside the job-title boxes, I keep building and contributing: upstream fixes, Linux packaging work, product experiments, decentralized crawling and search architectures, sovereign storage ideas, edutainment experiences backed by hard science data, and automation that turns rough theses into working systems.
SignalSalad is a globally scaling WebRTC platform for real-time audio, video, and data channels, built as production software rather than a throwaway demo: connection flow, session behavior, deployment shape, and operations all matter.
A multiplayer web-native edutainment world built on real science data: lunar surface terrain and the star field background are real scientific datasets, while WebRTC carries audio, video, and shared character positions so people can explore the same space together.
WebSight is a research/product architecture for distributed web crawling, vectorized page understanding, trust-weighted peer routing, and selective URL discovery without putting one central search authority in charge of the web.
A Solid Pod based app architecture where user data is portable by design: the service can host a default Pod for easy onboarding, while power users can bring their own data Pod to control settings, preferences, data ownership.
Built a Raspberry Pi based monitor for an aquaponics system with an underwater camera, temperature readings, and practical environment visibility for a living system where water, fish, plants, sensors, and timing all matter.
Microcontroller work where the constraints are closer to pins, timing, sensors, actuators, and firmware-style control loops than Linux userspace: GPIO, serial buses, hardware debugging, and bench-level iteration.
Rent it Forward / Property-Left Housing License
Rent it Forward models housing as a property-level cash-flow system: residents pay structured rent, the property funds real costs and stewardship, capital is repaid with a defined cap, and the asset stays protected for future affordability.
The Property-Left Housing License is the legal/governance layer: a recorded covenant that makes the affordability promise travel with the property through transfer rules, stewardship commitments, reporting, cure, and enforcement.
The supporting artifacts turn the thesis into a testable operating system: a workbook with rent-only viability gates in a San Francisco, pilot shortlist drawn from 122 imported property rows, plus a PHL pitch deck covering stakeholder fit, governance, defensibility, and the pilot path.
Public GitHub contributions include PRs to visgl/loaders.gl for a Cesium Ion 3D Tiles metadata API change and Biosias/uefi-mkconfig for kernel release support in UEFI descriptions, pentoo/pentoo-overlay and CesiumGS/cesium.
Strengths
The resume says a lot, but the pattern is broader: I find the risk hiding between teams, tools, devices, and assumptions, then turn it into working software, useful evidence, and a cleaner path for the next person who has to operate it.
I make the developer path legible: standards, permissions, automation, documentation, support loops, and governance that reduce friction without hiding the important controls.
I design around what can fail: ownership boundaries, state, release evidence, observability, rollback paths, and the audit questions that arrive after the system is already real.
I care about the first run and the hundredth run: setup flow, local feedback, release commands, reproducible conventions, and fewer environment-specific surprises.
I treat GNU/Linux as the common operating fabric, from cloud hosts and development machines to board-level deployments where hardware constraints shape the architecture.
I can move between firmware-adjacent constraints and application needs: sensor behavior, timing, serial debugging, bench iteration, and what software must expose for operators.
Toolbox
The useful part is knowing how the pieces compliment eachother: GitHub Enterprise, GitHub Actions, Terraform, AWS, GCP, JFrog Artifactory, SonarQube, Grafana, Backstage, Docker, Amazon ECS, AWS Fargate, LocalStack and many more.
About
I am happiest in the middle of a hard, useful problem: sketching the shape of it, trying a few approaches, and turning the best one into something solid enough for real users and real operations.
The thread through my work is simple: notice what is clumsy, make it clearer, and keep going until the result feels dependable.
Understand users, operators, data flow, deployment path, security requirements, and failure modes.
Make the uncertain piece visible early, whether it is infrastructure, product flow, device behavior, or media routing.
Clean up the edge cases, observability, security posture, documentation, and maintenance path.
Daily Driver
My desktop runs Debian, and my Framework 16 laptop runs Gentoo. I like understanding the machine I am using, from package choices to build flags to the shape of the whole environment.
Hospitality Bonus
I operate Airbnb stays in Tennessee and Arizona, which keeps me close to hospitality, property operations, guest experience, and the practical realities of maintaining useful spaces.
Organic Growth
I work on aquaponics gardening as another living system to tune: water, nutrients, sensors, timing, maintenance, and small improvements that compound over time.
Contact
If you have a delivery system to untangle, a platform to harden, a prototype to make real, or a technical gap nobody quite owns yet, reach out. Send the context, the constraints, or the messy first version, and I will help turn it into something your team can trust.
