Test rigs and data acquisition
Sensor selection, signal conditioning, encoder capture, ADC sampling, DAQ architecture, and repeatable measurement workflows.
Graduate engineering portfolio
Mechatronics Engineering graduate from the University of Queensland, based in Brisbane, Australia and open to relocation, with interests across robotics, control systems, automation, and practical mechanical/electrical engineering.
"I am most interested in practical mechatronics projects where mechanical design, electronics, control logic, and measured data all have to work together. My portfolio is built around systems that go beyond CAD or simulation and consider how the design will be built, tested, controlled, maintained, and validated in the real world."
Industry experience
Practical industry experience showing manufacturing problem-solving, plant constraints, test-rig development, CAD design, contractor-ready documentation, and engineering data tools.
Work experience involving camshaft-related engineering tools, root-cause investigation support, and development of a Spintron/camshaft dyno concept using encoder feedback, laser displacement sensing, VFD control, and data acquisition.
Engineering intern placement supporting plant engineering and maintenance in a food manufacturing environment, including equipment layout measurements, CAD design, fabrication drawings, BOM preparation, chute/conveyor interface work, and production-floor improvement support.
Featured work
Each project is written around the real engineering problem: what was being measured or controlled, what hardware or software was involved, and which design trade-offs mattered.
Waggot Cams test-rig project combining a custom computer program, Nucleo-based machine interface, VFD/encoder/Keyence laser feedback, and CAD mounting work.
Structured around remote control, synchronized lift/angle capture, physical mounting, and post-run analysis
Design and simulation of a six-axis robotic arm using CAD, MATLAB/Simulink, Simscape Multibody, inverse kinematics, trajectory planning, and workspace analysis.
Tested a smooth 5 second Cartesian trajectory in simulation
University team robotics project for an autonomous miniature waste-collection robot, with my contribution focused on drive sizing, full CAD integration, mecanum-drive packaging, storage/deposit design, and sensor-mount prototyping.
Built around autonomous navigation, practical CAD packaging, and iterative mechanical subsystem design
Thesis project combining compact CAD packaging, spur/worm gearing, PCB design, magnetic position feedback, and MATLAB/Simulink control modelling for an ultra-flat servo actuator.
Met simulated torque target, with speed improvement remaining a future optimisation pathCapabilities
Sensor selection, signal conditioning, encoder capture, ADC sampling, DAQ architecture, and repeatable measurement workflows.
Kinematics, trajectory planning, Simulink models, motor control concepts, feedback loops, and workspace analysis.
STM32 development, PCB design constraints, motor-driver integration, communication buses, firmware structure, and hardware bring-up planning.
Mechanical design, assembly thinking, machine-data interpretation, visual inspection tools, BOM awareness, and clear engineering documentation.
Tool stack
I am especially comfortable with MATLAB, Simulink, and Autodesk Inventor. The broader stack reflects my project direction: CAD for mechanism design, modelling and controls, STM32 for embedded control, and Python or browser tooling for analysis and visualisation.
About
I am drawn to engineering work where the model, the hardware, and the measured data all have to agree. I like taking a practical problem from rough concept through CAD, simulation, electronics, software, testing, and documentation, especially when the final system needs to be buildable, maintainable, and useful to someone working with real equipment.
Contact
Available for graduate roles in robotics, control systems, automation, and general mechanical/electrical engineering. Email is the best direct contact point, and LinkedIn is available for profile, network, and recruiter follow-up.