Wadood Islam is a Senior Machine Learning Engineer with 9 years of experience building deep-learning solutions across computer vision, graph learning, and sequence data. He has delivered applied research and production systems—from spatiotemporal graph models (STRAG / ST‑GATs) for wildlife conservation to object detection, segmentation, and classification pipelines integrated into real-time web platforms. Skilled in PyTorch, TensorFlow, knowledge distillation, attention mechanisms and QAT, he bridges research and engineering to move models into scalable deployments. His background spans academia and industry, including contributions at LUMS, Arbisoft, Pointivo and now Motive, and includes hands-on experience building ETL pipelines and AWS-deployed web services. Motivated by societally and environmentally beneficial problems, he combines curiosity-driven research with pragmatic product delivery. An interesting detail: he helped operationalize camera-trap ML systems that supported WWF Pakistan’s early-warning and conservation efforts.
9 years of coding experience
5 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Lahore University of Management Sciences
Matriculation Computer Science, Matriculation Computer Science at The Educators (Al Gafoor Campus)
Bachelor of Science (Computer Science) Computer Science, Bachelor of Science (Computer Science) Computer Science at National University of Computer and Emerging Sciences
Foundation degree Pre-Engineering, Foundation degree Pre-Engineering at Punjab Group of Colleges
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Wadood Islam - Senior Machine Learning Engineer at Motive