- Innovative and scientifically rigorous Machine Learning Engineering with an endless aptitude for learning.
- M.S. in Computational Analytics student at Georgia Tech.
- Solid foundation in statistics, linear algebra, calculus, and machine learning.
- Proficient in using data libraries and machine learning frameworks.
- 👀 I’m interested in all the thing I haven't learned.
- Machine Learning Integration Intern at Turion Space. (current)
- Machine Learning Researcher at UC Merced, Applied Math Department.
- Backend Developer for HackMerced.
- Software Engineering Intern at NeuroLeap Co.
- Languages: Fluent in Python; Proficient in SQL; Intermediate knowledge in C++, JavaScript, HTML, CSS, React.
- Technologies: Experienced with Pandas, NumPy, TensorFlow, Git, PostgreSQL, PowerBI, Scikit-learn, Keras, SQLite, LaTeX, Flask, Django.
- Soft Skills: Excellent communicator, creative problem-solver, team-oriented, and bilingual in English & Arabic.
Uncertainty-Quantification-in-Satellite-Image-Segmentation Public Python
| Title | Description | Repo |
|---|---|---|
| Satellite Image Segmentation | A project for uncertainty quantification in satellite image segmentation | GitHub |
| Data Runner | A Python-Pandas-based tool for facilitating data migration | GitHub |
| Destination Manager | A management system to simplify vacation ideas | GitHub |
| NASA Projects Dashboard | An interactive dashboard showcasing various NASA projects for the open-science competition | GitHub |
Feel free to browse my repositories to get a better idea of my work, and don't hesitate to reach out if you think we could collaborate on a project or if you have an opportunity that aligns with my interests and skills!