AvGeek Energy
I am the kind of person who can spend hours reading about aircraft systems, orbital mechanics, mission profiles, and why a control law behaves the way it does.
$ cat about-me.md
About Me
I am an AvGeek with a long-standing passion for aerospace and a particular obsession with the intersection of software, hardware, and electronics. I am most at home when the problem sits close to the physics: control systems, mission logic, GNC, telemetry, and optimisation algorithms that need to work under real constraints.
That is the thread running through both my engineering background and the projects I gravitate toward on GitHub: aerospace-oriented experimentation, simulation tooling, navigation concepts, route optimisation, and backend systems built with the same systems mindset.
$ ls ~/focus-areas
What Pulls Me In
Software x Hardware
What keeps me engaged is the boundary layer between code and reality: embedded thinking, electronics, telemetry, constraints, actuators, and the software that makes physical systems behave.
GNC and Optimisation
Guidance, Navigation and Control sits at the center of that fascination, especially when paired with optimisation algorithms that turn noisy inputs and hard constraints into robust decisions.
$ git show github-profile
Grounded In Real Work
My GitHub reflects the kind of work I want to be known for: a mix of aerospace-driven thinking, optimisation-heavy problem solving, and backend engineering built for production. With a BSc in Aeronautical Engineering and a strong interest in control systems and GNC, I am drawn to software that has to make sound decisions under real constraints.
I am especially passionate about scalable, high-performance system design and backend development, whether that means building microservices, optimisation engines, analytical tooling, or reliable platforms that need to stay fast, efficient, and correct as complexity grows. For me, aerospace, systems thinking, and backend engineering are not separate interests, they are all part of the same way of approaching hard technical problems.
Current Signals
- Aerospace systems and control-oriented thinking
- GNC algorithms, state estimation, and mission logic
- Optimisation for routing, matching, and constrained decision-making
- Electronics, hardware-aware software, and systems integration
- Simulation-led engineering workflows and analytical tooling
$ ./trajectory --future
Where I Want To Keep Building
Optimisation Under Constraints
I am especially drawn to problems where the search space is messy, the constraints are real, and the solution quality has operational consequences, whether that is routing, matching, planning, or resource allocation.
Aerospace-Centric Software
Long term, I want to stay close to aerospace software, simulation tooling, navigation, autonomy, and the class of systems where software has to respect sensors, kinematics, uncertainty, and control authority.