Summary
Zulfikar Hossain is a Data Scientist with 12 years of experience applying computer vision, deep learning, and remote sensing to real-world plant science and forestry problems. He combines a PhD in AI/Robotics with hands-on deployment experience—building scalable pipelines that processed ~15 TB of imagery for national kiwifruit counts and running cloud-based drone analytics for pine nursery monitoring. His work spans hyperspectral and LiDAR processing, edge and cluster deployments, and production ML tooling (MLflow, Optuna, Ray, Docker, Azure), delivering practical solutions like real-time apple tray inspection and particle-size estimation for 3D printing. Zulfikar regularly mentors junior scientists, reviews CV/robotics publications, and translates research into operational systems that save hundreds of labeling hours and accelerate decision-making. Notably, he has bridged robotics research (robot localization and SLAM) with large-scale agricultural sensing, giving him a rare mix of spatial reasoning and production ML engineering. Based in Auckland, he focuses on building reproducible, scalable pipelines that turn complex sensing data into actionable insights.
12 years of coding experience
13 years of employment as a software developer
PhD Artificial Intelligence - Robotics - Cognitive Science, PhD Artificial Intelligence - Robotics - Cognitive Science at Auckland University of Technology
B.Sc Electronics & Communication Engineering, B.Sc Electronics & Communication Engineering at Khulna University of Engineering and Technology
English