Darren Louis Jean

Emerging Cybersecurity professional with a Bachelor of Science in Cybersecurity from Andrews University. Experienced in network security, AI-based computer vision systems, and Linux administration. Developed IoT automation projects with ESP32 microcontrollers and machine learning models using YOLO for pavement defect detection. Committed to advancing cybersecurity and system automation.

Automated Pavement Maintenance Reporter

Personal/Academic Project | 2026

Developed an AI-powered pavement inspection system capable of detecting potholes and pavement cracks from images and video using YOLOv8 object detection.

Key Contributions:

• Built and trained custom YOLOv8 models on annotated pavement datasets
• Processed image and video data using Python and OpenCV
• Created automated workflows for frame extraction and dataset preparation
• Evaluated model performance using precision, recall, and mAP metrics

Generated annotated outputs for roadway condition analysis

• Worked with real-world datasets containing potholes and pavement cracks

Technologies Used:
Python, YOLOv8, OpenCV, PyTorch, Ultralytics, Computer Vision

Smart LEGO House Automation System

Personal IoT Project | 2025

Designed and implemented a smart LEGO-based home automation system using ESP32 microcontrollers, sensors, and automation software.

Key Contributions:

• Programmed ESP32 microcontrollers for sensor monitoring and automation
• Integrated PIR motion sensors and light sensors for smart lighting control
• Developed logic for automated LED lighting behaviors
• Connected system to n8n automation workflows using HTTP webhooks
• Deployed and managed services using Docker containers
• Integrated Jetson Orin Nano for future AI and edge computing capabilities

Technologies Used: ESP32, Arduino IDE, Docker, n8n, HTTP APIs, Jetson Orin Nano, IoT Sensors