Led the hardware integration of a level 1 autonomous teleoperation last-mile delivery solution for low-speed vehicles (LSVs) using
ROS 2, enabling real-time remote control, safety override, and operator-to-vehicle round-trip latency <200 ms over 5G modem.
 Integrated and implemented full GPIO interfacing between NVIDIA Jetson Orin microprocessor and embedded microcontroller
for edge AI inference, low-level motor control and command emergency stop in <150 ms when an object is simulated.
 Designed and deployed sensor architecture including RTK GPS, IMU, ultrasonic, LiDAR, and camera arrays, achieving 360°
environmental perception with <2cm localization error.
 Implemented a real-time perception pipeline using YOLOv8 and OpenCV to detect traffic lights, pedestrians, and vehicles with
>90% accuracy at 30 FPS for supporting live object detection, lane tracking, and command processing.
 Designed and fabricated custom sensor mounting brackets and compute module enclosures using SolidWorks and Fusion
360, enabling integration of camera, LiDAR, GPS, and communication modules onto vehicle chassis.
 Developed detailed wiring harnesses and signal routing for microcontroller-to-sensor interfacing, optimizing for EMF noise
reduction, voltage regulation, and modular debugging.

Contributed to team design reviews and technical workshops, applying SolidWorks to strengthen CAD proficiency and improve
component design workflows.
 Supported troubleshooting of mechanical and electrical assemblies, using diagnostic tools and CAD iteration to streamline
processes and achieve measurable gains in production efficiency.
 Executed carbon-fiber de-molding and finishing processes with precision tooling, ensuring strict compliance with design
specifications and maintaining high-quality standards for FSAE.

 Streamlined class resources by working with the teaching department to optimize instructional materials and improve the learning experience for computer engineering students.
 Acquired hands-on experience with machinery and robotics, applying technical knowledge to real-world tasks and enhancing problem-solving proficiency in a lab-based environment.
 Contributed to creating an educational environment by organizing class materials and facilitating a more comprehensive learning environment.

Integrating a Chatbot that acts as TA for answering questions based on the textbook and practice assignment solutions

Developed 3 comprehensive conceptual design specifications for Rayonier Advanced Materials (RYAM) to solve excessive
sodium silicate buildup in bleaching process holding tanks
 Designed various instrumentations (Banner QT50ULB ultrasonic, Siemens SITRANS LG240 guided-wave radar, SITRANS P300
pH, IR thermopile, pressure transducer) using SolidWorks to model the 3 various conceptual designs

 Developed a Python “Measure of Success” simulator implementing a temperature–solubility equation, CRH-based
humidity factor to generate multi-scenario precipitation curves using Matplotlib and Numpy to support design choice.

 Created a program that processed 730,000 temperature records from weather stations to uncover geographical trends.
 Modeled relationships between ocean temperatures, wildfire hectares burned, and salmon populations using OLS Regressions, with R2 values exceeding 0.95 for predictive insights.
 Produced detailed spatial visualizations of weather stations using latitude and longitude data, emphasizing high-risk zones for forest fires.