• Trained and deployed a YOLOv11 PyTorch model with OpenCV and GStreamer to track vehicles in real time, reducing reliance on $15k laser-based detection hardware.

• Integrated PyTorch YOLOv11 with OpenCV and GStreamer in a multithreaded Python application to track vehicles in real time and convert pixel detections into road coordinates, eliminating hardware-based size estimation.

• Developed Golang-based UDP trigger system with MySQL stored procedures, reducing storage costs by capturing images only when vehicles are detected by the machine learning algorithm.

• Optimized ML algorithms for Intel CPUs using OpenVino, eliminating GPU dependency and reducing hardware costs.

• Implemented Zabbix monitoring and email alerts for servers and IP cameras, increasing system reliability.

• Designed REST APIs to access vehicle data, enabling integration with front-end applications.

• Built multi-lane traffic simulator streaming data via 16 WebSockets, accelerating front-end testing in the absense of real

road data.

• Converted scripts into Linux system services with auto-restart and log rotation for the production environment

• Authored technical documentation and Visio diagrams for future developers

• Created and maintained a 3D Printer Queuing system (QView3D), improving lab workflow.

• Diagnosed and resolved technical issues, including breaks and clogs, minimizing downtime and maximizing printer

availability

• Conducted assessments of 15+ incoming printer requests/week, scrutinizing for build and mesh errors and act as a liaison

between customers and technical teams, offering insights to facilitate file correction and resolution.

• Conducted lab tours 3 times/year

• Conduct one-on-one and small group tutoring sessions, tailoring approaches to cater to individual learning styles and preferences for AP Calculus AB, AP Physics I, Java Programming, and Web Development for 12+ students/year while simultaneously balancing a rigorous academic workload and employment as a 3D printer technician.

• Programmed, developed, and implemented an Arduino-based stopwatch system for the Discovery Children’s Museum. Integrated various hardware components, including 2 sensors and 1 reset button, to stop a LED stopwatch when a LEGO car crosses the finish line. Demonstrated problem-solving skills by troubleshooting and optimizing the system to ensure reliable performance.

• Produced a precise circular template design for the Metropolitan Museum of Art cabinet display. Leveraged pixel ratio calculations to develop an exact circular template to seamlessly integrate monitor graphics into a cabinet, enhancing visual aesthetics and user experience.

• Developed detailed drawings outlining a potential projector display for the Brooklyn Children’s Museum in collaboration with the project team. Enhanced the deliverables package by provdiing visual representations of potential interactive display setups.

Used Python and MySQL to gather data from the Brown Dwarf NYC database and compared the spectral types of brown dwarfs to gravitationally sensitive light features of their spectra to observe if the trends observed in other research held with a more inclusive sample size.

Presented research at the Science Research Mentoring Program annual citywide symposium