Professional Overview
As a passionate TinyML developer, I bring hands-on experience in integrating AI on STM32 Nucleo and Raspberry Pi boards. Proficient in deploying models for computer vision using TensorFlow and PyTorch, I've successfully navigated the intersection of hardware and AI. My track record includes optimizing and implementing models for resource-constrained environments. Ready to contribute my skills to innovative projects, I bring a proven ability to bridge the gap between cutting-edge AI and practical embedded systems. Let's embark on the journey of pushing the boundaries of TinyML together.
Areas of Expertise
Computer Vision
Develop image recognition, object detection, video analysis, and multimodal AI systems for real-world applications.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
