Mahmoud Hossam
AI ML Engineer, Sequence Learning at GSK
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolMahmoud Hossam is an AI/ML engineer with 14 years of experience, currently applying sequence learning and protein language models at GSK to advance functional genomics. His background blends deep academic research—PhD work in generative sequential models and postdoctoral projects in deep RL for socially aware robot navigation and AI for drug discovery—with hands-on software engineering dating back to developing network drivers and mobile sales tools. Mahmoud has a track record of winning competitive academic offers (Dana‑Farber, CSIRO/Data61) and choosing roles that bridge cutting-edge research and industrial impact. He excels at translating sequence models and generative approaches into applied solutions for biology and materials, and brings a rare mix of lab-level rigor and production-oriented engineering.
14 years of coding experience
4 years of employment as a software developer
Machine Learning Generative Sequential Models, Machine Learning Generative Sequential Models at Deakin University, PRADA labMaster's Degree Computer Science, Master's Degree Computer Science at Ain Shams UniversityPhD Student Machine Learning / Artificial Intelligence, PhD Student Machine Learning / Artificial Intelligence at Monash University
Stackoverflow
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Github Skills (15)
computational-biology5
adversarial-attacks4
natural-language-processing4
classification4
nlp3
benchmark3
machine-learning3
protein-design3
document-classification3
bert3
text-classification3
sdl2
golang2
inference2
java1
Programming languages (3)
Github contributions (5)
mahossam/OptiGAN
May 2020 - Oct 2020
Contributions:8 commits, 7 pushes, 1 branch in 5 months
mahossam/RHSEG-Hyperspectral-GPU
Jul 2016 - Jan 2018
Contributions:13 commits, 12 pushes, 1 branch in 1 year 6 months
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