🌒 The long-term moonshot: Build the technical and domain expertise to contribute to space systems, mission operations, and the teams that support them.

🤖 Areas of focus: Mission operations, robotics, and autonomous systems.

I am an HCM implementation and technology professional with 11 years of experience in enterprise software delivery, project leadership, client enablement, and technical support.

Alongside my professional work, I am pursuing a B.S. in Space Studies and building an independent technical portfolio focused on programming, computational modeling, AI-assisted research, robotics, space systems, and autonomous systems.

This GitHub documents that development through working projects, reproducible analysis, technical documentation, and iterative experimentation.

I began the Bachelor of Science in Space Studies program at Everglades University in April 2026. I completed my first module, ASC 1100: Introduction to Aeronautics, in June 2026 with a 4.0 and am currently studying Aviation Law and Regulations.

Google Project Management Professional Certificate — In Progress

I am completing the Google Project Management Professional Certificate on Coursera to formalize and expand the project-delivery skills I have developed across 11 years of enterprise software implementation. The program strengthens my foundation in project planning, Agile delivery, stakeholder communication, risk management, and process improvement as I prepare for technical program management and mission-support roles in the space industry.

• RMPC Robotic Servicing Payload Concept: Independent prospective team-formation project for NASA TechLeap’s Robotically Manipulated Payload Challenge. Focused on a compact ORU-style robotic servicing / manipulation validation payload concept involving grapple/release, relocation, alignment verification, reinstallation, inspection support, and simple power/data validation. Role: Project lead, application coordinator, systems organizer. Project page: https://dan-lee-odinson.github.io/rmpc-servicing-payload-concept/
• Orbital Thermal Bounds: A thermodynamics preprint published on Zenodo with a DOI, supported by a Python simulation package and machine-verification suites.
• Next Pass: A satellite-pass tracking Chrome extension published on the Chrome Web Store. It was developed during a seven-day AI-augmented sprint that turned an experimental workflow into a shipped product.
• Agentic AI Affiliate Publishing Experiment: — Built and managed a smart ring affiliate website using Claude Cowork, WordPress, web research, SEO workflows, affiliate integrations, and custom project instructions. Tested “AI passive income” claims against real-world constraints. Final result: ~$300 spend, $4.08 affiliate revenue, with major lessons in AI workflow management, verification, tooling limits, product research, and human-in-the-loop oversight.
• Artemis Smartwatch: A Python-based smartwatch project used to develop programming and hardware-integration skills.

Since April 17, 2026, I have used Claude Cowork and other AI systems to systematize how I plan, research, learn, test, document, and ship projects.

The development, evaluation, and documentation of these workflows are part of the portfolio alongside the finished artifacts. The methodology has supported several public projects in 2026, including:

• A smart-ring research and affiliate-publishing website
• The Next Pass Chrome extension
• The Orbital Thermal Bounds preprint and simulation package
• Multi-model adversarial review and verification workflows

I am also experimenting with agentic workflows, scheduled tasks, reusable skill libraries, and structured human oversight to develop AI from a conversational tool into a more capable research and development environment.

I use Brilliant to develop intuition, Khan Academy for structured depth, and 3Blue1Brown for visual reasoning.

My applied priorities are statistics, probability, and operational data analysis—the mathematical foundation supporting mission operations, technical program management, solutions engineering, and systems-oriented decision-making.

Python is my primary programming language, supported by project-based study through FreeCodeCamp and independent development. My emphasis is on practical automation, simulation, data analysis, systems integration, and technical problem-solving.

Additional development areas include:

• SQL
• Bash and Linux
• Cloud infrastructure and operations
• Embedded systems and sensors
• Robotics and computer vision
• Requirements analysis and technical documentation

I am also using Vensure-provided Skillable lab environments to build hands-on AWS and cloud-operations experience.

I complete the AI training opportunities available through my employer and look for practical applications in implementation, support, training, documentation, research, and workflow improvement.

My ongoing reading covers astrophysics, the history of crewed spaceflight, modern aerospace technology, systems thinking, and the personal-development practices that make a long technical journey sustainable.

The categorized reading list, including reflections on completed books, is available in the reading-list repository.

Astronomy is a parallel study track that provides broader scientific context for the operational, systems, and program work supporting the space industry.

I am developing toward work at the intersection of technical systems, operations, project delivery, customer enablement, and the space domain.

My current areas of professional interest include mission operations, technical program management, customer engineering, and solutions engineering. The immediate focus, however, is building the knowledge, technical evidence, and project portfolio required to contribute meaningfully in those environments.

The pinned repositories below document this path through completed work, active builds, research, and ongoing learning:

• Next Pass — satellite-pass tracking extension published on the Chrome Web Store
• Orbital Thermal Bounds — thermodynamics preprint, simulation package, and verification suites
• CircuitMess Rover Build Log — hardware, firmware, sensors, and robotics experimentation
• Coworking with Claude — documented human-managed AI workflow methodology
• Reading List — books, technical foundations, and intellectual development

• LinkedIn: My Profile
• Email: dan.lee.odinson [at] gmail dot com

Per aspera ad astra.