Professional Overview
Misheck Kibunja Kabiriri – Machine Learning Engineer & Data Scientist Misheck Kibunja Kabiriri is a Machine Learning Engineer and Data Scientist with a strong foundation in actuarial science and over two years of hands-on experience designing and deploying intelligent systems across finance, healthcare, and real-time surveillance. With a passion for AI-driven problem solving, he specializes in time series forecasting, natural language processing (NLP), and computer vision, and brings deep expertise in Python, TensorFlow, PyTorch, and MLOps workflows. Misheck has built high-frequency trading algorithms using statistical modeling and signal processing, achieving consistent live-market returns. His work in healthcare includes developing NLP pipelines for clinical text analysis using BERT-based models, and he has also led the development of real-time object detection systems for drone surveillance using YOLO and Faster R-CNN. Certified by AWS and Google Cloud, and trained in data science at Moringa School, Misheck combines technical excellence with practical deployment skills on platforms like AWS SageMaker and GCP Vertex AI. He’s also deeply familiar with tools like MLflow, Airflow, Docker, FastAPI, and SQL/NoSQL databases. Beyond engineering, Misheck is a committed mentor and educator, having spent over three years tutoring students and professionals in statistics, web development, and data science. His ability to explain complex concepts with clarity and empathy makes him a natural leader in both team environments and learning communities. He thrives in fast-paced, interdisciplinary teams, and is especially drawn to mission-driven roles at the intersection of machine learning, quantitative finance, healthcare AI, and autonomous systems. Open to remote or relocation opportunities, Misheck is focused on building intelligent solutions that are not only technically robust, but also meaningful and impactful.