Developed a tool in collaboration with MIT Lincoln Labs capable of numerically simulating the kinematics of HGVs
Performed analysis for the Missile Defense Agency focused on assessing the feasibility of using Arbitrary Wave Frequency Modulation for particular radar tasks, considering constraints such processing capacity and hardware limitations
Worked on the development of the environment used to train and test the US Army's TITAN software
Education
Master of Science - AI Engineering - Mechanical Engineering
Carnegie Mellon University
Pittsburgh, PA
12-2025
Bachelor of Science - Mechanical Engineering
Pennsylvania State University
University Park, PA
05-2022
Skills
Python
MATLAB
Discrete Event Simulation
Direct Numerical Simulation
Large Eddy Simulation
SimPy
Machine Learning
Matched Filtering
Digital Signal Processing
CFAR analysis
Research Experience
Deep Robot Optimal Perception Lab (Carnegie Mellon University)
Working on a project aimed at utilizing 2D diagrammatic sketches as an interaction modality for humans to give demonstrations to robots via Gaussian Splatting and 3D reconstruction
An additional objective of the project is to utilize those demonstrations to train a preference based reward model, and use it to learn a policy (via gradient based RL methods)
Flow Physics and Computational Research Lab at Penn State
Worked on a project focused on the application Large Eddy Simulation and Bayesian Optimization to optimize a cooling system commonly used in gas-turbine engines
Worked as a research assistant on a project aimed at developing a physics informed neural network capable of predicting quantities of interest in a temporally evolving stratified shear layer
Certification
Department of Defense: Secret level clearance
Timeline
Modeling and Simulation Engineer
Raytheon Intelligence And Space
06.2022 - Current
Master of Science - AI Engineering - Mechanical Engineering