Mohamed Haseeb
Lead Machine Learning Engineer at Myrspoven AB
Dubai, Dubai, United Arab Emirates
Summary
👤
Senior🎓
Top SchoolMohamed Haseeb is a Lead Machine Learning Engineer based in Dubai with over a decade of experience designing and delivering ML-driven products, data platforms, and CI/CD systems for both startups and large enterprises. He blends hands-on model development and production engineering—having led analytics delivery, deployments and maintenance as well as scrum teams—while also solving data engineering challenges as a consultant. His background spans telecom-grade systems integration at Ericsson to building end-to-end ML features at Myrspoven and Watty, reflecting a rare mix of production reliability and research-informed ML practice. An active contributor to scikit-learn’s testing infrastructure, he emphasizes maintainable, efficient engineering that improves project quality. He holds a Master’s in Machine Learning from KTH and a first-class BSc in Electrical and Electronics Engineering, bringing both rigorous academic grounding and practical systems experience. Colleagues describe him as a problem-solver who gravitates toward hard integration problems and scalable testable solutions.
10 years of coding experience
14 years of employment as a software developer
Master’s Degree, Machine Learning, Master’s Degree, Machine Learning at KTH Royal Institute of TechnologyBachelor of Science (B.Sc.), Electrical and Electronics Engineering (Telecommunications Engineering major), First class, Bachelor of Science (B.Sc.), Electrical and Electronics Engineering (Telecommunications Engineering major), First class at University of Khartoum
English, Arabic, Swedish
Stackoverflow
1reputation
0reached
0answers
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Github Skills (8)
testing10
scikit-learn10
machine-learning10
pytest10
python10
data-science10
scikit10
data-analysis9
Programming languages (7)
Github contributions (5)
scikit-learn/scikit-learn
Feb 2021 - Nov 2021
scikit-learn: machine learning in Python
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:8 commits, 5 PRs, 6 comments in 9 months
Contributions summary:Mohamed's contributions primarily focus on improving the testing infrastructure within the scikit-learn repository. They replaced older testing constructs (`assert_raises*`) with the modern `pytest.raises` approach in multiple test files, and also reduced the dataset size in one of the estimator check tests. This indicates a focus on refactoring tests for improved readability, maintainability, and efficiency. The changes suggest the user's efforts improve the quality and reliability of the project.
data-analysispythonstatisticsdata-sciencelearn-machine-learning
mohaseeb/shaplets-python
Jun 2016 - Nov 2019
Python implementation of the Learning Time-Series Shapelets method, that learns a shapelet-based time-series classifier with gradient descent.
Contributions:77 commits, 5 PRs, 56 pushes in 3 years 5 months
forecastingpythontime-series-analysisclassifiershapelets
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