Computer Science student at UCF (Class of 2028)
Focused on robotics, computer vision, and autonomous systems.

I build real-time robotics systems that combine computer vision, embedded hardware, and control systems. My current focus is developing a multi-DOF (Degrees of Freedom) bionic hand controlled through live hand tracking and preparing it for developing custom gesture recognition and ASL (A–Z) sign language models using MediaPipe landmarks.

Real-time robotic hand system using OpenCV and MediaPipe on a Raspberry Pi.

• MediaPipe-based hand tracking
• Servo actuation via PCA9685
• MG995 servo control for finger motion
• Vision-to-actuation mapping prototype

• Mechanical wrist and servo enclosure redesign in Fusion 360 using Orca V1 Legacy Palm
• Increased DOF (17 DOF target)
• Improved motion stability and control pipeline
• Preparing system for ML-based gesture recognition

• Improving robotic hand control stability (MK1)
• Developing custom gesture recognition models using MediaPipe landmarks
• Preparing system for ASL (A–Z) fingerspelling recognition
• Exploring future autonomous robotic manipulation systems

• Python, C
• Raspberry Pi, I2C, Embedded Systems
• Computer Vision (OpenCV, MediaPipe)
• Git, Linux
• Fusion 360 (basic)