Small infrastructure improvements can have meaningful impact on system reliability and developer experience.
I build reliable developer tooling and backend systems focused on validation, configuration safety, and predictable behavior. My work helps teams reduce invalid states, improve debugging clarity, and make complex workflows easier to maintain and reason about.
Currently seeking remote or hybrid roles in Python backend engineering, developer tooling, DevEx, scientific software, and infrastructure-focused systems engineering. I’m particularly interested in building reliable tooling, validation systems, and developer-facing platforms that improve maintainability, reduce invalid states, and make complex workflows easier to reason about.
⚧️ Pronouns: He/Him
Doby Baxter - Python engineer specializing in validation, system reliability, and developer tooling.
I build systems that prevent invalid states, improve error clarity, and make complex configurations easier to reason about. My focus is on creating predictable, maintainable tooling that supports both developer experience and system correctness.
Contributor to ESA Pyxel, improving validation, reliability, and developer experience within scientific simulation workflows.
I work in Git-based environments with an emphasis on maintainability, clear documentation, and systems that are easy to understand, debug, and hand off.
| < Technical Competencies /> | |
|---|---|
| Programming | Python • TypeScript • JavaScript • Node.js • Bash |
| Data & Configuration | JSON • YAML • JSON Schema Design • AJV Validation • Schema-Driven Architecture |
| DevOps & Tooling | Git • GitLab • GitLab CI/CD • Docker • PyPI • CLI Tooling |
| Validation & Reliability | Configuration Validation • Schema Design • Deterministic Workflows • CI/CD Integration |
| Observability & Telemetry | OpenTelemetry • Distributed Tracing • Metrics & Logs • Vendor-Neutral Instrumentation • System Legibility |
| Systems Thinking | Second-Order Cybernetics · Observer-in-the-System Design · Human–System Interaction Layers · Feedback Loop Awareness |
| Browser & Extension Dev | WebExtensions API • Firefox Add-ons • DOM Manipulation • MutationObserver • Tooltip Systems |
| Documentation & Communication | Technical Writing • Architecture Documentation • Open Source Collaboration • Async Remote Communication |
| PLC & Industrial Automation | Inductive University 8.3 Credentialed Integrator · PLC Programming · Siemens TIA Portal · CODESYS · Ignition SCADA · Ladder Logic (LD) · Industrial Automation · Motor Control Systems · PLC Simulation & Debugging |
| Robotics & Middleware | ROS 2 • RViz • Distributed systems • Real-time communication |
| Security & Systems Awareness | Input validation • Secure configuration practices • Network analysis (Wireshark, Nmap) • System inspection & debugging |
| Engineering Experience |
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"Doby has demonstrated strong technical skills, thoughtful system-level thinking, and a clear focus on usability and maintainability. He played a key role in developing innovative tooling driven by real user and community needs. He is proactive, reliable, and communicates clearly, particularly when working on complex or cross-cutting features."
A selection of featured projects in industrial automation, SCADA, and PLC programming — focused on control systems, HMI design, and modular machine architecture.
A schema-aware YAML configuration system for ESA Pyxel simulation modes, designed to reduce misconfiguration risk in scientific workflows. Implements guided configuration flows, integrated validation, and contextual error handling to enforce structural correctness and improve usability in complex detector simulation environments.
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A structured contribution index documenting system-level improvements to a scientific detector simulation framework, including validation architecture, simulation models, and developer tooling. Highlights clarity-driven design, reduction of configuration ambiguity, and improvements to reliability and developer experience.
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A browser extension designed to enhance comprehension of scientific documentation through inline semantic augmentation. Introduces a layered concept system that detects domain-specific terminology and provides contextual explanations directly within the reading flow. Emphasizes cognitive accessibility, reduced context-switching, and a scalable architecture.
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A full-stack geospatial application integrating a FastAPI backend with the Copernicus Sentinel Hub API for real-time Sentinel-2 imagery, NDVI computation, and statistical aggregation. Orbital mechanics are computed via Skyfield (SGP4 propagation) to contextualize satellite passes. The frontend uses CesiumJS to render an interactive 3D globe with toggleable data overlays. Render hosting the API.
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A growing portfolio of PLC programming projects focused on industrial automation, control systems, and machine logic design. Includes motor control systems, latching circuits, sensor-based automation, and troubleshooting workflows using Ladder Logic and PLC simulation. Focused on reliable system behavior, fault isolation, and practical industrial problem-solving where software meets hardware.
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An exploratory contribution site documenting my journey into OpenTelemetry - the open source standard for distributed observability - alongside the ideas that drew me to it. Frames observability as a second-order cybernetic practice, where engineers, users, and the systems they build all sit inside the same feedback loop. A working notebook for contributions, reflections, and the long-term question of what it means to make complex systems legible to the humans who depend on them.
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A Raspberry Pi Zero 2 W–based systems lab for network analysis, monitoring, and security experimentation within a constrained hardware environment. Designed for hands-on exploration of system behavior, service configuration, and command-line automation under real-world resource limitations.
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A technical portfolio of contributions across backend, frontend, and documentation within the GitLab ecosystem. Focused on validation, data integrity, and preventing invalid system states through safer parsing, input constraints, and improved API clarity in large-scale production systems.
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An AI systems architecture framework exploring bounded, human-centered design. Focuses on deterministic workflows, structural safeguards, and transparent system behavior to preserve human agency and accountability in AI-assisted environments.
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A structured workflow engine for LLM pipelines — built around the same principles that run through all my work: predictable execution, validated configuration, and clear failure states. YAML-driven, cycle-safe, and designed to make complex AI workflows easier to reason about, debug, and hand off.
The repository is publicly available for inspection and non-commercial use. Commercial or production deployment requires a license — starting from £249 for single-project usage, with team and enterprise options available. If you're building something with it, feel free to reach out.
Includes a commercial license grant, packaged Python wheel (.whl), and usage & integration instructions.
A few principles I try to keep in mind when working on tooling, configuration, and developer-facing systems.
Code and tooling should be easy to read and understand — for the next person, and for yourself six months later.
Good configuration handling and clear error messages make it much easier to spot mistakes before they become bigger issues.
Tools that behave consistently are easier to trust, debug, and hand off to someone else.
When something goes wrong, the error should tell you what happened and ideally point you toward fixing it.
A living constellation of personal growth – from empathy to confidence, advocacy to connection. Click or hover to expand the details for each milestone.
Explore the Solar System in a pixel-art spaceship made in PICO-8!
