I turn physics and maths into software that runs on real hardware.

Four years building tracking, ballistics, guidance and embedded software for counter-drone and radar systems. I research the maths, write the code, and test it on the real system.

Email me Download resume

Selected work

Defence programmes are described at overview level only, limited to what I can share.

Anti-drone hard-kill integration

Connected a detection camera and radar cue to a gun system so it could engage a drone automatically.

Removed the parallax between sensor and weapon using coordinate transformations.
Solved the ballistic lead numerically. Researched the maths from papers, with no existing library to lean on.
Validated in a live demonstration.

Python

Radar track filtering and camera tracking

Turned jumpy radar output into tracks a real drone could actually fly.

Kalman and Extended Kalman filters tuned with the radar's measurement covariances.
PID loop from tracker pixel error to a PTZ camera's velocity controls.
Dual-antenna GPS heading research, tested for accuracy with smoothing filters.

Python, C

Drone guidance firmware

Complete flight-guidance application on a companion computer connected to the flight controller.

Automatic takeoff, target detection, tracking and proportional-navigation guidance.
Version 2 in progress: three-axis gimbal camera and a minimal custom Linux image built with Yocto.

C, C++, Raspberry Pi, Yocto

Multi-sensor counter-swarm system

Integrated camera, radar and RF detection into one vehicle-mounted system.

Fused sensor data and cued an effector to a predicted intercept point.
Iterative, drag-aware ballistic prediction, because the trajectory can only be computed forward.

Python, sockets

What I work with

Estimation and control: Kalman and Extended Kalman filters, covariance tuning, PID control, proportional navigation
Maths in practice: Coordinate transformations, parallax correction, numerical ballistics, smoothing filters
Languages: Python, C, C++, JavaScript, SQL
Embedded and systems: Xilinx SDK (processor to FPGA over AXI), PIC microcontrollers, Yocto Linux, TCP and Ethernet interfaces
Sensors: Radar tracks, PTZ cameras, dual-antenna GPS, RF detection
How I use AI: I let LLMs write modules, then review and test them against the maths before they go into a system.

Beyond work

I model in Blender, 3D print on a printer I bought myself, and write small tools and games. These renders are from early on.

Blender render of a wooden bedside table with a lamp

Blender render of glass marbles in a bowl

Blender render of a wall socket and switch

Blender render of a pen on a wooden desk

Earlier projects on GitHub: Ticketster Covid Simulator Raycasting 3D Extreme Snake Play Snake