Summary
Kabir Abdulmajeed is a consultant and data scientist with eight years of experience applying machine learning, computer vision, and control theory to industrial and commercial problems, currently working at BCG and BCG GAMMA. He has led end-to-end ML programs for pipeline integrity—developing novel activation functions, hierarchical sizing algorithms, object detection for corrosion, and productionized MLOps pipelines on GCP using MLflow, TensorBoard, W&B and FastAPI. His background in robotics and controls (PhD-level research and MSc degrees from KFUPM and Georgia Tech) informs principled approaches to temporal modelling, sensor fusion, and adaptive control that improve real-world reliability. Kabir pairs hands-on engineering (ETL, SQL, GUIs, production code) with research rigor, having built anomaly detection, spectral and Bayesian methods for challenging signal-processing tasks. Based in Toronto, he’s interested in the interface of humans, machines and business—translating complex models into actionable decisions for asset-intensive industries.
8 years of coding experience
5 years of employment as a software developer
B.Eng. Electrical and Electronics Engineering, Signal Processing and Communications, First Class (Hons.), B.Eng. Electrical and Electronics Engineering, Signal Processing and Communications, First Class (Hons.) at Osun State University
M.Sc. Computer Science, Machine Learning, M.Sc. Computer Science, Machine Learning at Georgia Institute of Technology
M.Sc. Systems Engineering, Systems, Robotics, and Control, M.Sc. Systems Engineering, Systems, Robotics, and Control at King Fahd University of Petroleum & Minerals - KFUPM
English