Oluwasegun Ojo is a Data Scientist and ML Engineer with 9 years of experience and 6+ years building production machine learning systems, combining a PhD in Mathematical Engineering (Statistics) with hands-on deployment of LLM-based solutions and fair ML models for financial services. He has led end-to-end ML pipelines from research to production—processing tens of gigabytes of text for large-scale classification and optimizing multi-year retail promotion ROI for projects totaling over €100M in annual spend. His background includes published research on anomaly detection, open-source production software (an R package with 18k+ CRAN downloads and high test coverage), and large-scale graph analysis of blockchain transactions. Currently based in Getafe, Spain, he applies rigorous statistical thinking to edge computer vision for public transport while deepening expertise in Rust, CUDA and GPU-accelerated ML for high-performance systems. As a founder and freelance consultant he has delivered dozens of client projects with perfect satisfaction, blending product-focused engineering with reproducible, interpretable ML. An uncommon strength is translating academic methods into production-grade tools that scale across domains from mobility and finance to public health.
9 years of coding experience
9 years of employment as a software developer
Visiting Student Statistics, Visiting Student Statistics at KAUST (King Abdullah University of Science and Technology)
Charles III University of Madrid (Universidad Carlos III de Madrid)
Bachelor of Technology - BTech Statistics, Bachelor of Technology - BTech Statistics at Federal University of Technology Akure
Master's degree Mathematical Science, Master's degree Mathematical Science at African Institute for Mathematical Sciences, Cameroon
Contributions:33 pushes, 1 branch in 3 years 2 months
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