I’m an Aerospace Engineering student at Georgia Tech focused on simulation, vehicle dynamics, and autonomous systems. I’m most interested in building and testing physically grounded models that translate into real hardware — whether that’s rockets, drones, or propulsion systems. My work sits at the intersection of flight physics, control, and rapid iteration, and I enjoy taking systems from concept to validated performance.
I’m currently studying Aerospace Engineering at Georgia Tech (4.0 GPA), where I focus on flight dynamics, simulation, and system-level vehicle design. Across my projects, I consistently work at the boundary between software and hardware — developing high-fidelity simulations while also designing and building real components.
On the Propulsive Landers team, I design propulsion feed system hardware and am developing a rocket dynamics simulation in Rust to test guidance and control algorithms. Through FluxSpace, I co-founded an autonomous drone inspection startup where I built a simulation testbed to validate autonomy strategies before hardware deployment. I’m also part of the Exascale CFD VIP, where I’m developing numerical solvers for nonlinear PDEs and exploring stabilization techniques.
What excites me most is iterative engineering: building models, testing assumptions, refining designs, and closing the loop between prediction and reality. Long term, I want to work on high-performance aerospace systems where simulation, control, and physical constraints all intersect.
Download RésuméSkills
Simulation & Dynamics
Programming
CAD & Mechanical
Systems
Education
B.S. Aerospace Engineering
Georgia Institute of Technology | 4.0 GPARelevant Coursework: Statics · Engineering Materials · Physics (Mechanics & E&M) · MATLAB · Engineering Graphics
Online Coursework: CornellX ENGR2000X – A
Hands-on Introduction to Engineering Simulations
Defined and analyzed CFD and FEA problems in ANSYS Fluent and Mechanical
Experience
Propulsion Feed System & Simulation Engineer
Propulsive Landers | Atlanta, GADesigning propulsion hardware and developing high-fidelity rocket simulations for a student propulsive lander vehicle.
- Designed a custom servo-actuated ball valve in SolidWorks for the propulsion feed system, reducing total system mass by ~10% while improving nitrogen flow regulation and meeting launch mass constraints.
- Conducted component trade studies evaluating cost, material compatibility, mass, and performance limits to guide part selection and ensure reliable system operation.
- Developing a rocket dynamics simulation in Rust to model thrust, aerodynamics, and control interfaces, supporting guidance and control algorithm validation in collaboration with structures and GNC teams.
Co-Founder & Engineer
FluxSpace | Atlanta, GACo-founding an autonomous drone inspection startup focused on structural mapping and verification.
- Accepted into Georgia Tech’s Idea to Prototype (I2P) program and placed in the top ~10% of YC Winter 2025 applicants.
- Built a virtual drone autonomy testbed in Python and JMavSim to simulate inspection missions and validate path-planning strategies before hardware deployment.
- Led customer discovery with construction and facilities teams to shape system requirements and product direction.
- Collaborating on sensor data processing algorithms to convert raw magnetometer measurements into interpretable structural maps.
Autonomous Drone Engineer
RoboNav (Drone Subteam) | Atlanta, GAContributing to mechanical design and autonomy development for a modular drone platform.
- Designed foldable landing gear and arm mechanisms in SolidWorks to reduce transport volume by ~30% while maintaining structural integrity under load.
- Developed detailed part lists, documentation, and electrical layouts to streamline drone assembly and sensor integration.
- Learning and implementing ROS 2 and C++ tools to improve onboard perception and decision-making capabilities.
Aerodynamics Engineer
HyTech Racing | Atlanta, GA- Modeled and evaluated rear wing airfoils in CATIA and ANSYS Fluent to maximize downforce while minimizing drag.
- Performed mesh refinement studies and parametric sweeps to analyze aerodynamic sensitivity to angle of attack.
- Worked cross-functionally with chassis and suspension teams to integrate aerodynamic loads into structural constraints and vehicle testing plans.
Machine Learning Intern
Spotline Inc. | Fremont, CADeveloped machine learning models to support early-stage medical diagnostics.
- Built a CNN-based model in Python (TensorFlow/Keras) to predict diabetes diagnoses with 90% accuracy using data from ~1,000 patients.
- Preprocessed and augmented datasets using Pandas to improve model robustness and training stability.
- Identified key predictive features (obesity range and prior diabetes status), improving interpretability and informing product decisions.
Theoretical Physics Researcher
KU Leuven University | Remote (Fremont, CA)Conducted research in theoretical black hole spacetime modeling under mentorship of a postdoctoral researcher.
- Analyzed mathematical models of black hole spacetime to evaluate accuracy and interpretability of theoretical formulations.
- First authored a manuscript published in peer-reviewed journal, focusing on clarifying complex general relativity concepts for broader accessibility.
- Collaborated closely with a mentor to explore alternative modeling approaches and communicate results effectively.