Summary
Nima Ramezani is a Senior Staff Data Scientist and AI specialist based in Sydney with over 15 years of hands-on experience applying mathematics, optimization and machine learning across robotics, biomechanics, banking and retail. He holds a PhD in Robotics and AI and developed MAGIKS, a numeric inverse kinematics solver from his doctoral work, which underpins his strength in translating advanced control and optimization theory into production systems. At Commonwealth Bank he led award-winning projects like Smart Optimiser and ATM Cash Optimisation that combined prediction and optimization to deliver measurable cost savings and operational fairness. He has built data science functions from scratch, mentored teams, and repeatedly shipped scalable pipelines and customer segmentation models across startups and large enterprises. Comfortable across Python, R and cloud platforms, Nima brings a researcher's rigor to product-focused delivery and a rare blend of mechanical-engineering intuition with modern ML practice. Colleagues value his curiosity-driven approach that seeks elegant mathematical solutions to messy, real-world business problems.
15 years of coding experience
16 years of employment as a software developer
Bachelor's degree Mechanical Engineering/Solid Design, Bachelor's degree Mechanical Engineering/Solid Design at Iran University of Science and Technology
Doctor of Philosophy (PhD) Artificial Intelligence, Doctor of Philosophy (PhD) Artificial Intelligence at University of Technology Sydney
Master's degree Biomechanics, Master's degree Biomechanics at Sharif University of Technology
Persian, English, German