Nawfal T
Quantitative Technology Director
Dubai, Dubai, United Arab Emirates
Summary
👤
Senior🎓
Top SchoolNawfal T is a Quantitative Technology Director based in Dubai with 11 years of experience building cloud-native, AI-powered products for quantitative research and engineering teams. He has progressed through technical and leadership roles at Qube Research & Technologies, combining hands-on quantitative engineering with people and platform leadership since 2022. Previously he led engineering at biotech-focused Aqemia and contributed to collaborative research consortia and production ML efforts at Iktos and MELLODDY, bridging research-grade models with deployable systems. Trained as an engineer at Télécom SudParis and Institut Polytechnique de Paris, he complements that foundation with Udacity certificates in Deep Learning, Deep Reinforcement Learning, and Cloud DevOps. Known for moving models from prototype to cloud production, he brings a practical blend of quantitative rigor, ML research familiarity, and cloud-native delivery experience.
11 years of coding experience
9 years of employment as a software developer
Cloud DevOps Engineer, Cloud DevOps Engineer at UdacityMaster of Engineering - MEng, Master of Engineering - MEng at Institut Polytechnique de ParisEngineer's Degree, Engineer's Degree at Télécom SudParis
French, English
Github Skills (24)
json9
docker9
api9
flask9
scikit-learn8
gnome8
machine-learning8
machine-learning-models7
arango7
deep-learning7
clipboard-manager7
pytorch6
deep-reinforcement-learning5
driver4
nosql-database4
Programming languages (4)
Github contributions (5)
NawfalTachfine/PredictionAPI
Jun 2017 - Nov 2019
Tutorial on deploying machine learning models to production
Contributions:1 release, 31 commits, 2 PRs in 2 years 5 months
machine-learning-modelsscikit-learnapiflaskdocker
NawfalTachfine/DeepLearningFoundationNanodegree
Jun 2017 - Jul 2017
Contributions:42 commits, 35 pushes, 1 branch in 1 month
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