Worked on developing low-cost, attritable autonomous UGVs to address capability gaps identified by the US Military and law enforcement in fields of Force Protection (FORPRO) and Counter-Unmanned Systems (C-UxS). I designed and architected the full autonomy stack, integrating Vision-Language Models (VLMs), agentic RAG pipelines, and dynamic path planning algorithms in partially observable and non-deterministic environments. During my internship, I built UGV hardware and edge compute modules from the ground up and integrated autonomy across the unmanned system network. At the end of my internship, I was able to support field deployment and live capability demonstrations of our hardware and software.
In the Spring semester of 2025, I was a TA for CS 2340: Objects and Design under Professor Pedro Guillermo Feijoo-Garcia. I helped students learn key skills necessary in the field of software engineering past coding. I guided students to use key technologies such as Git and understanding Agile methodologies in group projects.
At Experimental Flights, I researched the usage of drones for inventory management in warehouses. We explored the usage of DJI Tello drones controlled by a Raspberry Pi as a central command center. I programmed the Pi and the Tello drones to allow for remote connection and control of the drone through UDP sockets. I created Python scripts that allowed the drone to carry out basic flight paths, automatically scan barcodes and QR codes, and allow for manual control with keyboard inputs with a live video feed.
At thnkrAI, I helped develop price prediction models with the use of large language models trained on e-commerce sites such as eBay and Amazon through web scrapers I created with NodeJS. The model I trained is now deployed in an app available on Shopify. The model can accurately predict market price with just a product description.
I Interned in the Safety Department at Interstate's headquarters in Springfield, Virginia. I was in charge of several day-to-day tasks and projects including the hiring and firing process and updating expired vehicle and employee records. Though many of these tasks were meant to be done manually, I wrote Python scripts to automate my workflow; allowing me to complete projects weeks in advance. I also created an internal tool that allowed us to access quick data without the need to submit a ticket to the IT department and wait for an SQL query.
I researched the usage of convolutional neural networks to diagnose cancers and the effects of dataset sizes on transfer learning which resulted in significant performance uplifts. My research was one of 24 papers selected out of 493 to be published Horizon Academy Research Journal Volume 2 Issue 2 (ISBN: 979-8-88627-141-6). You can read my paper with the DOI: https://doi.org/10.47611/harp.136.
I work as a private tutor teaching high school and college level mathematics and sciences. Popular courses I tutor for are Algebra II, BC Calculus, AP Computer Science, Linear Algebra, and Multivariate Calculus.
In order to fundraise for our Technology Student Association's National competition, I hosted a 2-day long STEM camp during memorial weekend teaching fundamentals of CAD and 3D printing with Autodesk Fusion 360 to elementary and middle schoolers. We successfully raised over $1,000 for our competition and every student could create any object they wanted in CAD and knew how to use a 3D printer. Click on the JMHS TSA logo to open up an image gallery.