Senior computer Science Student (BigData) @NU |2x ECPC Finalist | Aspiring Data Scientist
I build ML systems end‑to‑end: from messy data ➜ clean pipelines ➜ reliable models ➜ usable apps. I’m especially interested in traffic prediction, spatiotemporal modeling,recommendation systems for education and productivity and agriculture technology.
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Graduation Project – Speakx Egyptian English AI Platform Enhancing English fluency for Egyptian learners through an AI‑driven platform that provides assessment, recommendations, and practice tools.
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Garden AI Management System Smart agriculture system including automated irrigation, fertilization scheduling, and plant disease detection with AI vision.
- Co‑author of “A Comparative Study of Machine Learning Techniques for Traffic Prediction Incorporating Weather Conditions” (2025). (IEEE format)
- Built big‑data pipelines with Hadoop + Docker, processed 4M+ rows, and shipped reproducible notebooks & dashboards.
- Cross‑platform delivery: backend (Django) and lightweight web tools.
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Python |
C/C++ |
C# |
Bash |
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PyTorch |
TensorFlow |
Scikit-learn |
Hadoop |
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Spark (PySpark) |
Docker |
Django |
REST API |
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MySQL |
HTML |
CSS |
Jupyter |
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Linux (Ubuntu) |
VS Code |
Git |
GitHub |
Keywords: community platform, accessibility, empowerment
- A community-driven platform connecting small job seekers and givers.
- Focused on empowering people with disabilities by enabling micro-jobs.
Repo: JobFinder
Keywords: traffic prediction, weather fusion, event scraping
- Machine learning model predicting New York City traffic (Queens).
- Uses traffic + weather data and social media scraping.
Repo: Traffic Predictor
Keywords: operating systems, xv6, system call
- Enhancement of xv6-riscv implementing a
pstreesyscall. - Visualizes the process hierarchy in ASCII, inspired by Linux’s
pstreecommand.
Repo: Pstree
Keywords: dashboards, EDA, sponsor insights, competition analytics
- Analyzes distribution of universities, years, NU-affiliated teams; helps attract sponsors.






