
Electrical Engineer specializing in Embedded Systems and Robotics, applying machine learning, coding logic, and simulation techniques to build intelligent, real‑world solutions.
I graduated from UT Dallas in Fall 2025 with a Bachelor’s in Electrical Engineering, where I focused on robotics, embedded systems, and machine learning. I love working with compact computing platforms like the Raspberry Pi 5 and Jetson Orin Nano to bring robotic ideas to life. My projects blend coding logic, sensor integration, simulation, and ML/SLM techniques to create systems that are fast, responsive, and reliable. I’m driven by hands‑on problem‑solving and building technology that works in the real world.
2019 - Present
Amazon Inc
Solely Responsible for Processing Incoming and Outgoing shipments for the warehouse
Keep inventory for the warehouse at the required operational capacity
Rotating to different position within the warehouse to fulfill customer's orders
2023 - 2025
The University of Texas at Dallas
2016 - 2023
Various Community Colleges

Using an embedded device camera to train images on the Edge Impulse platform to successfully detect a particular targeted car, which in this case was a red toy car.

In this Project I used the Azure Cloud Hub to communicate commands to a robot execute commands such as moving one of its servo arms. In the image attached, the message I sent the Picar-x robot was to move its head 90 degrees, then another command back to 0 degrees. This was achieved by creating a Token key that can then communicate to the Robot via its onboard library to successfully move the servo arm.

This is an Infographic Presentation that I did for A.I Benefits and Drawbacks in our current society. I provided a link to a video presentation that I did over the topic which was constructed using Canva.

In this virtual exchange project, research was done in both the U.S and France team members; additionally, our French members were able to conduct experiments at their university's plasma lab. The power point (link attached) demonstrated the efforts from both countries to understand the significance of the 4th state of matter—Plasma.

The Face Recognition that I created was for the Picar-X robot that I was using to track a familiar face wants the person was recognized. The images I used was embedded into a code that the Robot used to compare to the live feed seen in the image.

For this Project I Uploaded a SLM into the Raspberry Pi 5 to help with dynamic commands for my test Robot. In the link is presentation that show cases the different commands that were executed with and without the SLM. For example, with the Phi-3 mini running to interpret the different variant of the intended command for the robot, the SLM deciphered what I was asking it to achieve and then executed the command.

This Lab assignment for my circuits class was over Analog to Digital converter. The initial phase was to produce a circuit simulation of the lab using OrCAD platform for Pspice. The final phase was to recreate the circuit using a bread board, wires, comparator chips, and an encoder chip to produce an Analog to Digital converter circuit. To verify both simulated and lab results, an Analog Discovery 2 device was used to measure the results, example in the image attached.

My senior design engineering project was to produce a Smart Delivery Robot that would be targeted for pick up delivery used by most groceries and retail stores. The idea of the robot was to store customers' orders and to be able to deliver the order to park customer's vehicles. The focus of the project was to build a robot that could avoid obstacles and pedestrian by using the ROS2 architecture and map construction to successfully deliver these orders.