About this Candidate
DAVRON CV: Candidate 3808549
AEROSPACE ENGINEER | PROPULSION, CFD, MDAO & REDUCED-ORDER ML
Core Expertise
- Developed reduced-order neural networks for trajectory prediction, accelerating simulations while retaining accuracy.
- Built and extended PyTorch-based machine-learning libraries and generalized models for dynamic aerospace systems.
- Designed, manufactured, and tested hybrid propulsion components including nozzle, injector, and combustion chamber.
- Performed CFD and FEA analyses on supersonic shear layers and propulsion components using StarCCM+ and Ansys.
- Led a student propulsion program and mentored peers in ML, Python, CAD, and safe fabrication practices.
Project Background
- Led end-to-end design, manufacturing, and testing of a hybrid rocket propulsion system and major assemblies.
- Designed and fabricated a composite solid-propellant rocket airframe and developed ground testing procedures.
- Developed a fully autonomous firefighting drone using MDAO for weight reduction and C++ for flight controls.
- Researched nonlinear dynamic systems and reduced ML models to improve simulation speed and maintain fidelity.
- Applied CFD tools to study supersonic shear-layer instability to inform design and modeling choices.
Key Skills
- Python | PyTorch | C++ | MATLAB
- CFD: StarCCM+ | Ansys; FEA and simulation workflows
- SolidWorks | Autodesk Inventor | CAD and CAM part modeling
- MDAO | Optimization | System Dynamics
- Machine learning for dynamics | Reduced-order modeling
- Fabrication: CNC | Lathe work | Additive manufacturing | Assembly & testing
Education
- B.S., Aerospace Engineering — Pennsylvania State University
Why Interview this Candidate?
A hands-on aerospace engineer with practical propulsion design, CFD, and reduced-order ML experience ready for entry-level roles. Demonstrated ability to convert research algorithms into efficient simulation tools and lead prototype development and testing. Strong CAD, fabrication, and programming skills enable immediate contribution to design, analysis, and manufacturing workflows.
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