Daniel Osei

Daniel leads Icon Technology's AI and data engineering practice. He designs and builds machine learning systems that solve real business problems — from recommendation engines and fraud detection to natural language processing and computer vision.

With a background in computational statistics and 8 years of hands-on ML engineering, Daniel bridges the gap between research and production. He has deployed models serving millions of predictions per day at scale.

Before Icon Technology, Daniel worked as a senior ML engineer at a leading data platform company, where he built the internal MLOps toolkit used by over 200 data scientists. He holds a Master's in Machine Learning and regularly speaks at conferences on practical AI deployment.