iegad
Summary
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SeniorEyad G is an AI researcher with 10 years of engineering experience who combines academic rigor—MSc in Computer Science from Western University—with practical systems work in ML, computer vision, and embedded software. He has authored eight peer-reviewed papers on topics spanning federated learning, medical imaging, and IoT security, and has delivered measurable results such as a 72% reduction in deep learning training time with minimal accuracy loss. At NORDIK he built a decade-long Twitter dataset and a Financial Stress Index for Canada using NLP and ML, while prior roles include improving Alzheimer’s and breast-cancer detection models and deploying high-accuracy vision pipelines for biomedical applications. Comfortable in Python, C/C++, Java and SQL, he also bridges research and production—optimizing IPC latency by 78% and automating grading workflows to scale instruction for 200+ students—revealing a pragmatic focus on efficiency as well as innovation.
11 years of coding experience
Github Skills (2)
userland7
protocol-buffers1
Programming languages (3)
Github contributions (5)
iegad/ig
Mar 2020 - Nov 2020
Contributions:46 releases, 111 pushes, 89 tags in 8 months
iegad/common
Jan 2021 - Mar 2021
Contributions:2 PRs, 192 pushes, 3 branches in 1 month
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