Sheet 2 · Engineering Portfolio

Selected engineering work

Aeronautics and astronautics undergraduate at Stanford. Work spans spacecraft and UAV structures, avionics and embedded systems, control systems, and first-principles materials research.

Capabilities

Structures & mechanical design
Parametric CAD (Fusion 360, AutoCAD) · generative design · structural layout · design for manufacture · mass and stiffness trades
Avionics & embedded
Flight computer programming · sensor integration · embedded systems · dual-deploy recovery electronics · soldering
Controls & analysis
Real-time state estimation · feedback control · MATLAB signal and sensor analysis · fatigue and failure characterisation
Computational & materials
Density functional theory · first-principles interface modelling · doping studies · composite material behaviour
Fabrication
Carbon-fibre layup · epoxy bonding · 3D printing · laser cutting · machining
Software
C++ · Python · Java · JavaScript · MATLAB · Rust · LaTeX · OpenRocket
  • PRJ-01 Sept 2025 — present

    Satellite reaction wheel

    Wheel assembly in build; rim geometry and balance iteration ongoing with the satellites team.

    Reaction wheel assembly for spacecraft attitude control. Momentum exchange lets the satellite slew without expending propellant, which sets the design problem: concentrate inertia in the rim, hold balance tightly enough that the assembly does not couple vibration into the spacecraft bus at operating speed, and mount it within the primary structure.

    Skills demonstrated

    • Mechanical design
    • Rotor mass distribution
    • Rotational balancing
    • Structural integration
    • 3D printing
    • Laser cutting
    Role
    Structures & mech design
    Team
    Stanford SSI · Satellites
    Tools
    CAD, 3D printing, laser cutting
    Scope
    Wheel assembly; avionics integration across 6+ subteams
  • PRJ-02 Dec 2025 — present

    Fly-by-feel UAV control

    Estimation and control approaches developed and under evaluation with a team of five PhD and postdoctoral researchers.

    Fly-by-feel replaces a handful of discrete air-data probes with sensing distributed through the airframe, so aerodynamic state is reported directly rather than inferred. This work covers the control side: real-time state estimation and feedback formulation, alongside synthesis of existing approaches in the literature.

    Skills demonstrated

    • Real-time state estimation
    • Feedback control
    • Distributed sensing
    • MATLAB
    • Embedded systems
    • Literature synthesis
    Role
    Research assistant
    Lab
    Structures & Composites Lab
    Team
    5 PhD & postdoc researchers
    Tools
    MATLAB, embedded systems
    Focus
    State estimation, feedback control
  • PRJ-03 Dec 2025 — present

    Composite fatigue testing

    Crack initiation and growth thresholds characterised for Boeing composite coupons tested to failure under cyclic loading.

    Cyclic load testing of Boeing composite coupons at the Structures and Composites Lab. Coupons are instrumented and run to failure; sensor data is processed in MATLAB to map strain and stress response across specimen life, and reported in lab presentations.

    Skills demonstrated

    • Fatigue testing
    • Failure characterisation
    • Strain and stress mapping
    • MATLAB data processing
    • Technical reporting
    Role
    Research assistant
    Lab
    Structures & Composites Lab
    Article
    Boeing CFRP coupons
    Loading
    Cyclic, to crack growth
    Analysis
    MATLAB · strain/stress mapping
  • PRJ-04 Sept 2025 — present

    Tornado UAV airframe

    Airframe mass reduced 28% with stability and manufacturability constraints held.

    Full UAV airframe developed as a parametric Fusion 360 model, so that component changes propagate through the assembly without breaking fit. Layouts were iterated with generative design against mass, stability and manufacturability; avionics, transmission and control systems are integrated within the design constraints of other subteams.

    Skills demonstrated

    • Parametric CAD (Fusion 360)
    • Generative design
    • Structural layout
    • Design for manufacture
    • Subsystem integration
    Role
    Core structures
    Team
    Stanford Flight Club
    Tools
    Fusion 360 · generative design
    Mass
    −28% vs. first layout
    Trades
    Weight, stability, manufacturability
    Integrating
    Avionics, transmission, controls
  • PRJ-05 Mar 2026 — present

    High-power rocket · L2

    Airframe and avionics bay built; Level 1 certified, Level 2 flight pending.

    3.9 in (98 mm) airframe on a 54 mm motor, built for Level 2 high-power certification. Designed and simulated in OpenRocket to verify stability margin and predicted apogee, then fabricated by laser cutting, epoxy bonding, 3D printing and carbon-fibre layup. The avionics bay is custom, with a flight computer programmed for dual-deploy recovery.

    Skills demonstrated

    • OpenRocket simulation
    • Stability and apogee analysis
    • Carbon-fibre layup
    • Epoxy bonding
    • Flight computer programming
    • Dual-deploy recovery
    Role
    Design, build, avionics
    Airframe
    3.9 in · 98 mm
    Motor
    54 mm · J–L class
    Recovery
    Dual deploy
    Tools
    OpenRocket, laser cutter, CF layup
    Cert
    L1 done · L2 in progress
  • PRJ-06 Jun 2023 — Oct 2024

    Graphene/aluminium interface

    Two of four candidate reinforcements identified as bonding approximately 20× more strongly than graphene. Published in RSC: Materials Advances.

    First-principles study of graphene/aluminium interfaces for aircraft alloys, using density functional theory with interface doping strategies. Four candidate 2D reinforcements were modelled and compared on bond strength and interface stability.

    Skills demonstrated

    • Density functional theory
    • First-principles modelling
    • Interface doping
    • Metal matrix composites
    • Academic writing
    Role
    Independent researcher
    Host
    National Graphene R&D Center
    Method
    DFT · first principles
    Result
    Improved strength & stability
    Published
    Mater. Adv. 2024, 5, 9596