Shahed Sabab is a Senior Data Scientist and multi-cloud certified ML specialist with 6–8 years of experience building production-ready AI solutions across AWS, GCP, and Azure. He has delivered end-to-end ML systems—from computer vision crack detectors and video-analytics pipelines to LLM-powered chatbots and few-shot question-answering ensembles—optimizing models for speed, cost, and memory in real-world deployments. Comfortable in both research and consulting roles, he translates client problems into scalable cloud architectures and has repeatedly reduced training/inference footprints while improving accuracy. His background includes academic research in HCI and tutorial-difficulty modeling published at VL/HCC, reflecting a knack for marrying human-centered insights with technical rigor. A proven team leader and problem solver, he also contributes to knowledge sharing via blogs and presentations and routinely implements data engineering, MLOps, and visualization tools to turn noisy data into actionable business insights. Based in Edmonton, Canada, he pairs strong engineering chops (Python, Spark, TensorFlow/PyTorch, Databricks) with experience in deploying ML at scale for telecom, healthcare, and enterprise customers.
6 years of coding experience
9 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Manitoba
Bachelor of Science - BS, Computer Science and Engineering, Bachelor of Science - BS, Computer Science and Engineering at Islamic University of Technology
The purpose of this project is to design a web dashboard for investigating insights of the agricultural market on Wheat. It uses Angular 9.0, Chart js, D3 js and Bootstrap 4.0.
Contributions:48 pushes, 1 branch in 2 years 5 months
chartangular-9bootstrap-4d3-jspurpose
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