Islem Berrached

Islem Berrached

$10/hr
dev app web | ia | cybersecurity
Reply rate:
100.0%
Availability:
Hourly ($/hour)
Location:
Hydra, Alger, Algeria
Experience:
1 year
About

I am a dedicated and adaptable technology professional with expertise in cybersecurity, artificial intelligence, and software development. My work focuses on building secure, efficient, and intelligent solutions that address real-world challenges.

In cybersecurity, I specialize in malware detection and analysis for Android applications, using both static and dynamic techniques. I have experience with tools such as Androguard, MobSF, Frida, and Genymotion, as well as automation with Python and ADB. My projects include developing AI-based detection systems that leverage models like Random Forest, Convolutional Neural Networks (CNN), and Graph Neural Networks (GNN) to identify malicious behavior.

My AI skills extend beyond security. I have worked on deep learning, natural language processing (NLP), and large language models (LLMs), applying them to tasks such as network intrusion detection, behavioral prediction, and intelligent application features. I am experienced in data preprocessing, model training, evaluation, and deployment in production-ready environments.

In software development, I am proficient in web technologies (HTML, CSS, JavaScript, React, WordPress, Webflow) and mobile development with Flutter, enabling me to deliver complete solutions with responsive design and robust backend integration. I also have experience in backend development using Flask, Supabase, and cloud platforms like AWS, Azure, and Google Cloud.

I follow secure coding practices, optimize for performance, and integrate DevOps workflows including CI/CD pipelines, containerization with Docker, and Kubernetes orchestration. My ability to bridge security, AI, and development allows me to design end-to-end systems that are both innovative and reliable.

Some of my notable projects include:

  • An AI-powered malware detection system with a user-friendly interface.
  • A Flutter-based psychological monitoring app with integrated AI analysis.
  • A network attack classifier using the NSL-KDD dataset and deep learning models.
  • A study group management web platform to enhance collaboration and learning.

I approach every project with precision, creativity, and a focus on delivering measurable results. I value clear communication, adaptability, and continuous learning to stay ahead of technological trends.

My goal is to contribute to impactful projects that combine innovation with practical application whether by securing systems, developing intelligent tools, or creating seamless digital experiences.

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