https://github.com/yusefsaid/yusefsaid
https://github.com/yusefsaid/yusefsaid
Last synced: 5 months ago
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- Host: GitHub
- URL: https://github.com/yusefsaid/yusefsaid
- Owner: YusefSaid
- Created: 2025-04-28T20:06:22.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-08-17T16:18:04.000Z (10 months ago)
- Last Synced: 2025-08-17T18:14:34.040Z (10 months ago)
- Size: 42 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Hi 👋, I'm Yusef Said
MSc Artificial Intelligence Student & Computer Engineer.
Focused on ML applications, Full-stack development, and Data engineering.
Building practical AI systems with emphasis on scalability and real-world deployment.
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## Tech Stack & Tools
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## Current Focus Areas
â–¸ **Machine Learning**
Deep learning for image recognition, transfer learning, and model optimization
â–¸ **IoT Security & Anomaly Detection**
ML-based threat detection and cross-device generalization research
â–¸ **Full-Stack ML Applications**
Building end-to-end systems from model training to production deployment
â–¸ **Data Engineering & Analysis**
Feature engineering, dataset exploration, and statistical analysis for ML workflows
â–¸ **Backend Development & APIs**
RESTful services, async processing, and scalable system architecture
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## Current Projects
### [Food Detection System for Digital Health (Team Project)](https://github.com/haraldbo/ikt524-should-i-eat-that)
Developing an ML-powered web application for automated food recognition and nutritional analysis from images. Exploring different datasets such as Food-101 and Nutrition5k datasets to finetune ML models on analyzing food images and to help provide clear analysis just from a simple image upload of a food. Some of the tech stacks involve: PyTorch (EfficientNet/MobileNet), Flask API backend, and Next.js frontend.
### [N-BaIoT: IoT Botnet Detection Research](https://github.com/YusefSaid/N-BaIoT-Anomaly-Detection-Enhanced)
Investigating cross-device generalization in IoT botnet detection using the N-BaIoT dataset. Working on uncovering limitations in existing evaluation methodologies and exploring aspects of the dataset that relevant papers have not thoroughly investigated, particularly around realistic deployment scenarios and cross-device performance.
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## Highlighted Projects
### [Data Warehouse Project](https://github.com/haavardos/IKT453-DataWarehouse)
Supabase, Neo4j, MongoDB - and Docker-based data warehouse solution featuring a STAR schema, Kafka streaming pipeline, and materialized views for efficient analytics.
### [Fish Identification](https://github.com/YusefSaid/fish-identification)
Neural network solution to identify fish species from underwater images. Trained using the Fish4Knowledge dataset for ecological monitoring.
### [Bachelor Project](https://github.com/YusefSaid/BachelorProject)
Web application and dashboard for monitoring automated backend processes. Designed and implemented core functionality using JavaScript and REST APIs.
### Scripting & Infrastructure projects ([1](https://github.com/YusefSaid/Shell-scripting) [2](https://github.com/YusefSaid/Cloud-instance-initialization) [3](https://github.com/YusefSaid/Containerization-Technology) [4](https://github.com/YusefSaid/Software-Provisioning-and-Configuration-Management) [5](https://github.com/YusefSaid/Infrastructure-As-Code))
1. [Shell Scripting](https://github.com/YusefSaid/Shell-scripting)
2. [Cloud Instance Initialization](https://github.com/YusefSaid/Cloud-instance-initialization)
3. [Containerization Technology](https://github.com/YusefSaid/Containerization-Technology)
4. [CTFd Platform Setup with Vagrant and Docker](https://github.com/YusefSaid/Software-Provisioning-and-Configuration-Management)
5. [CTFd Platform Setup with Terraform and OpenStack](https://github.com/YusefSaid/Infrastructure-As-Code)
Series of hands-on scripting tasks using **Terraform**, **Ansible**, **Docker**, and **Linux shell scripting** — involving provisioning, service deployment, and automation of CTFd platforms and multi-container environments.
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## Connect With Me
Email: [yusefsaid@hotmail.com](mailto:yusefsaid@hotmail.com)
[](https://www.linkedin.com/in/yusef-rahim-karim-said/)
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