Joyce Chidiadi is an ML software engineering consultant with nine years of experience building data-driven products and secure, privacy-aware AI pipelines. Based in Calgary, she blends deep learning, computer vision, and MLOps expertise—leveraging Python, Spark, Docker, AWS SageMaker and GCP—to deliver projects like bike-sharing demand prediction and building footprint detection from aerial imagery. Her background spans applied roles at Hexagon’s Autonomy & Positioning division and freelance consulting on Upwork, where she focuses on moving models from research into production. Trained in data science and deep learning (Udacity) and pursuing advanced CS at Georgia Tech, she pairs geosciences domain knowledge with practical engineering chops. Colleagues note she intentionally steps back from social media to recharge and prioritize continuous learning, which feeds her steady stream of hands-on, privacy-conscious solutions.
9 years of coding experience
7 years of employment as a software developer
Nanodegree, Data Science, Nanodegree, Data Science at Udacity
M.Sc, Petroleum Geosciences (Geophysics), M.Sc, Petroleum Geosciences (Geophysics) at Institute of Petroleum Studies, Port Harcourt
Abia State Senior Science School, Ihie
B.Tech, Geological and Earth Science/Geosciences, B.Tech, Geological and Earth Science/Geosciences at Federal University of Technology Owerri Nigeria
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Georgia Institute of Technology
Contributions:52 commits, 51 pushes, 3 branches in 1 year
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Joyce Chidiadi - ML Software Engineering Consultant at Upwork