Michael Pennyvia

I am an Artificial Intelligence and Machine Learning enthusiast with hands-on experience in image and 3D LiDAR annotation, model development, and applied research projects. I combine strong problem-solving skills with practical implementation experience across computer vision, IoT, and data science.

During a Machine Learning Annotation internship at Talent Africa Inc, I performed image annotation for multiple sports datasets and labeled 3D LiDAR point clouds, contributing directly to model training pipelines. I have completed projects including an IoT Beehive Management System, a machine-learning phishing detector, and a simulated autonomous drone delivery system.

I hold a BSc Hons in Artificial Intelligence and Machine Learning and have completed certifications in Oracle Cloud Infrastructure Generative AI, a BCG data science simulation, and Google UX Design, demonstrating both cloud/LLM familiarity and product-focused design thinking. I’ve used TensorFlow, Keras, scikit-learn, and relevant tools to build and evaluate models.

I seek to bring my technical curiosity, communication strengths, and hands-on project experience to teams building impactful AI and IoT products, where I can continue to learn, contribute to production-ready solutions, and grow professionally.