Projects
A showcase of my work in machine learning, deep learning, and computer vision.
Reolink-DetectAI
A custom home security system using OpenCV and YOLOv8 to monitor RTSP camera streams, perform object detection (person, car, etc.), and send email alerts with detected images.
Downhill Event Detection
Processed 300k+ sensor samples. Achieved 80.6% classification accuracy with Weighted-KNN. Addressed class imbalance with bootstrapping technique using synthetic oversampling via the covariance matrix.
Automatic Control of Anesthesia: Data Analysis and Optimization with Machine Learning
Developed a machine learning-enhanced system within the ACTIVA Project to predict BIS values and optimize intravenous anesthesia delivery, overcoming traditional closed-loop limitations and enhancing patient safety.
Action Recognition System
Enhanced a pose estimation pipeline using OpenMMLab, achieving 89% accuracy on a custom dataset. Enabled real-time inference on macOS hardware, overcoming previous compatibility challenges. Designed for human-robot collaboration applications.
Industrial Vision System
Designed a liquid level detection system reducing manual inspections by 70%. Implemented adaptive thresholding for varying lighting conditions.