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Hello, I'm

Jamayne

ECE @ Cornell · Hardware + Software · Robotics & Embedded Systems

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About Me

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Education

Cornell University — B.Sc. Electrical & Computer Engineering

I’m an ECE student at Cornell who bridges hardware and software—from custom PCB design and embedded firmware to computer vision and robotics—focused on building reliable, real-world systems.

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Skills

Python
Advanced
MicroPython
Advanced
Java
Intermediate
Arduino
Intermediate
JavaScript
Intermediate
C++
Intermediate
Swift
Intermediate
React JS
Intermediate
MongoDB
Basic
Express JS
Basic
My Journey

Experience

Electrical Lead

Cornell Rocketry Team

Directed the design, manufacturing, and testing of custom PCBs for propulsion and avionics subsystems. Managed a subteam of engineers to deliver reliable, high-performance electrical systems for competition rockets.

Electrical Engineer

Cornell Rocketry Team

Developed and integrated sensor and relay boards into hybrid propulsion systems. Contributed to PCB layout, signal conditioning, and embedded firmware, supporting safe and successful rocket test campaigns.

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Projects

HostelCNC project image
HostelCNC

A MERN web app that streamlines student accommodation in Ghana with JWT auth and optimized DB management for seamless booking.

Obstacle Avoidance Robot
Obstacle Avoidance Robot

4‑wheel robot with Raspberry Pi Pico W + Arduino + C++ for autonomous navigation. Iteratively tuned for robust avoidance.

Cook It iOS app
MKLFLY

Gesture-controlled Tello drone using an FRDM board to turn IMU data into real-time flight commands.

RFID Security System
RFID Security System

Arduino‑based keycard access system with reliable authentication, achieving a 95% success rate in testing.

Facial Recognition Drone
Facial Recognition Drone

Python + OpenCV drone‑based delivery authentication; integrates hardware and software for adaptable industrial use.

Facial Recognition Drone
Stock Price Estimation Model

A machine learning model to estimate future stock prices using historical pricing data.

Facial Recognition Drone
Breast Cancer Detection Model

A machine learning model to accurately detect breast cancer based on key tumor cell characteristics.