Ikram Choudhury

I am an AI/ML Solutions Specialist developing machine learning and computer vision pipelines to solve environmental challenges. Currently, I work with marine scientists at Cefas to process massive datasets and build robust systems for automated fish aging and benthic litter analysis.

Recently, I overhauled the UK's Benthic AI litter project—more than doubling its detection accuracy—and presented my research on computer vision for calcified structures at the ICES conference. Before this, I worked as a Data Engineer Consultant, where I had the opportunity to write production flight analysis code for British Airways.

My technical foundation comes from an MSc in Space Engineering and a BEng in Aerospace Engineering. Working with satellite radar data, Doppler Delay Maps, and UAV aerodynamics during my studies seamlessly transitioned into my current focus on Earth observation and scalable geospatial models, utilizing C++, Python, and Uber's H3 algorithm.

When I'm not optimizing AI models or building cloud-based video analysis architectures like my Cloud-DashCam-POC, I enjoy exploring UI design—a skill I inadvertently picked up while creating comics with 3D animation and CAD tools during my adolescence.

In my free time, I write informal blogs on AI, document my research methods, and solo travel across the UK and abroad.