Systems Developer based in Lincolnshire, UK. I build intelligent systems combining machine learning, computer vision, and edge AI — with a long-term focus on simulation and robotics engineering.
Languages Python · JavaScript · SQL · C++ (learning)
ML & Computer Vision TensorFlow · TFLite · Keras · OpenCV · MediaPipe · scikit-learn
Tools & Platforms Git · Linux · Raspberry Pi · Tkinter · Flask
Real-time 5-class fall detection system built with MobileNetV2 and TFLite for edge deployment. Classifies Fall, Pre_Fall, Idle, Lying, and Sitting states from a live webcam feed. Triggers instant email or SMS alerts when a fall is detected. Achieved 92% accuracy across a balanced dataset of 1,736 test samples.
Real-time computer vision application using the MediaPipe Tasks API to control system volume through hand gestures. Tracks 21 hand landmarks via webcam and maps thumb-to-index-finger distance to volume output.
- Working as a Systems Developer at Wren Kitchens
- Running Havis.dev — web development and automation for small businesses
- Building toward simulation and robotics engineering
- Expanding into C++ and embedded/edge systems