Mattaniah Mugerwa

Aerospace engineering graduate with a focus on integrating artificial intelligence into aerospace design and analysis. Currently leading a research project on LLM-enabled design and manufacturing of aerospace components, enhancing engineering workflows and decision-making processes. Proficient in MATLAB, Simulink, and Python, with expertise in numerical modeling, stability and control, and structural mechanics. Certified in Autodesk Inventor and advanced Microsoft Office, demonstrating strong capabilities in data analysis and technical reporting.

• Heat Shield Simulation & Numerical Methods Analysis (Python [VS-Code & Spyder]) (September 2023 – June 2024), Developed and implemented four numerical schemes (Forward, Dufort-Frankel, Backward, and Crank-Nicolson) in Python to simulate heat transfer through a spacecraft thermal protection tile., Processed experimental boundary condition data from a temperature-time graph using image tracing and scaling techniques, converting it into usable input for simulation., Performed stability and accuracy comparisons across methods by automating simulations over varying timestep sizes, producing visual results for analysis., Positioning Control System (MATLAB/Simulink), Built and tuned a digital controller in Simulink to move a cart along a rail, making it respond quickly and accurately to changing targets like step and square wave demands., Discretised a low-pass filter using Zero-Order Hold and used PID control to keep the system stable, tweaking solver settings and filter behaviour to solve simulation crashes and instability., Set up manual switching logic to test how the system would react in real-time, Gear Pump Modelling (Inventor Autodesk), Modelled Gear Pump after taking measurements in teams of four., Was awarded a 1st after submitting CAD and hand drawings, Design and Make – Table Tennis Ball Launcher (Inventor Autodesk), Completed the first phase (conception and design) of a tennis ball launcher with a team of 4 peers and designed the tennis ball launcher., Created detailed drawings of the design., Streamlined team activities by assigning tasks., Scheduled meetings to track project progress., Ultrasonic Sensor Calibration (MATLAB), Successfully filtered and calibrated raw data from an HC-SR504 Ultrasonic Sensor., Performed error analysis under various environmental scenarios, demonstrating attention to detail whilst proposing suitable workarounds, showcasing problem-solving skills., Adapted findings to a large restaurant dine-in scenario where waiters would be notified once a customer sat at table. Project assessed and awarded a 1st through a presentation and written report., Product Design (Inventor Autodesk), Designed a gardening tool for users with joint pain in a team of four. Streamlined workflow by organising meetings and shared workspaces. Co-developed CAD model by splitting design tasks and using shared dimensions.
• Junior Chassis Engineer, Team Bath Racing Electric (April 2024- Present), I assisted the core team in the design and manufacturing of their 2024 Formula Student electric car. Activities included sanding the chassis mould, designing cardboard templates for the chassis and cutting carbon fibre based on templates. Using CAD to design plus optimise various components. This role has bolstered my attention to detail through component design and CFRP cutting, strengthened my communication by collaborating with senior members of the team and improved my organization skills plus time-management., Team Bath Drones (June 2024 - Present), I aid the team in various roles such as wing manufacture, which includes epoxy application to glass fibre and CFRP surfaces. My engagement requires use of my organizational, communication and teamwork skills as most of the tasks I am assigned require close collaboration with peers.

• Gym
• Rugby
• Football
• Video Editing
• Graphic Design
• Volunteering

Generative AI and LLMs: Architecture and Data Preparation – IBM (2026)
Credential ID: XWKGTPRCL4AL
Focused on Large Language Model architecture, training workflows, and data preparation techniques for AI systems.

Autodesk Inventor Professional: Stress Analysis Tools – LinkedIn Learning (2024)
Advanced application of Finite Element Analysis (FEA) tools within Autodesk Inventor for structural and stress analysis.

Autodesk Inventor 2022 Essential Training – LinkedIn Learning (2024)
Professional CAD modelling and parametric design certification, including constraint-driven modelling and assembly workflows.

Excel: Data Analysis with Formulas, Functions & PivotTables – Logical Operations (2026)
Credential ID: P5RQ7XP9QMYS
Advanced Excel techniques for data analysis, structured modelling, PivotTables, and analytical reporting.

Learning MATLAB – LinkedIn Learning (2024)
Foundational certification in MATLAB for engineering computation, scripting, and numerical modelling.