I'm Kwame — a software engineer and problem solver with a solid foundation in system administration and a drive for building scalable, secure, and impactful software.
My journey spans infrastructure automation, distributed systems, and ML-driven applications.
I thrive on turning complex challenges into elegant solutions.
I'm currently exploring mobile ML deployment, event-driven architectures, and real-time data systems.
A multimodal system that detects facial expressions using a CNN model and adjusts music playback accordingly. Built with JavaFX for the frontend and Python for emotion detection.
A real-time data streaming system using Kafka to monitor YouTube channels and send instant Telegram alerts for new uploads. Fully containerized using Docker.
TensorFlow-based waste classification model trained on recyclable vs. non-recyclable garbage images. Converted to .tflite for use in mobile applications.
