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
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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
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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
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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
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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
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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
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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