I am a Junior AI Engineer & Data Analyst with solid experience in Python, machine learning, and data projects. I am passionate about solving real-world problems via AI, including computer vision, malware detection, video transcription, and data visualization. I founded Computer Science Oasis (CSO), where I teach AI, programming, and robotics. I founded Computer Science Oasis (CSO), where I teach AI, programming, and robotics. I am seeking freelance or early-career roles to leverage hands-on skills and grow in AI and data science.

Gobbi Mohaned

I am a Junior AI Engineer & Data Analyst with solid experience in Python, machine learning, and data projects. I am passionate about solving real-world problems via AI, including computer vision, malware detection, video transcription, and data visualization. I founded Computer Science Oasis (CSO), where I teach AI, programming, and robotics. I founded Computer Science Oasis (CSO), where I teach AI, programming, and robotics. I am seeking freelance or early-career roles to leverage hands-on skills and grow in AI and data science.

Available to hire

I am a Junior AI Engineer & Data Analyst with solid experience in Python, machine learning, and data projects. I am passionate about solving real-world problems via AI, including computer vision, malware detection, video transcription, and data visualization. I founded Computer Science Oasis (CSO), where I teach AI, programming, and robotics.
I founded Computer Science Oasis (CSO), where I teach AI, programming, and robotics. I am seeking freelance or early-career roles to leverage hands-on skills and grow in AI and data science.

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Experience Level

Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate

Language

Arabic
Fluent
French
Intermediate
English
Fluent

Work Experience

Manager and Teacher at Computer Science Oasis (CSO)
December 31, 2023 - May 28, 2024
Run a local tech school teaching programming, robotics, AI, and design. Developed curricula and taught Python, AI foundations, operating systems, and security basics. Mentored students on small applied projects.
Freelance / Personal AI Projects at Self-Employed
January 1, 2024 - Present
Malware Detection: Built hybrid CNN + LightGBM model for malware classification. Video Transcriber: Developed speech-to-text transcription system for videos. Traffic Sign Detection: Real-time lightweight computer vision model (GTSRB dataset). Plant Disease Classifier: Image classification with custom PyQt5 UI. PyQt Text Editor: Desktop app with file operations & lexical analysis features.

Education

Engineering Degree in Computer Science (in progress) at Kasdi Merbah University, Ouargla, Algeria
January 11, 2030 - January 1, 2027

Qualifications

C2 English Certificate
January 1, 2024 - September 28, 2025
BrainerX AI Masterclass Certificate
January 11, 2030 - September 28, 2025

Industry Experience

Software & Internet, Education, Professional Services, Media & Entertainment
    paper Plant-Disease-Detection-System

    A comprehensive plant disease detection application that combines deep learning models with an intuitive PyQt5 interface. The system supports multiple input methods including image upload, camera capture, text descriptions, and symptom similarity matching.

    for more info :
    https://www.twine.net/signin

    paper Multi-language-audio-transcriber

    Multi-Language Audio Transcriber A powerful, user-friendly desktop application for transcribing audio and video files using OpenAI’s Whisper model. Support for 16+ languages with offline transcription capabilities.

    for more info :
    https://www.twine.net/signin

    paper Real-Time-Traffic-Sign-Detection

    Traffic Sign Detection using YOLOv5 This project is a real-time traffic sign detection system that uses YOLOv5 and OpenCV to identify and announce traffic signs from a live camera feed. The system utilizes a pre-trained model to detect traffic signs and employs text-to-speech (TTS) to verbally announce the detected signs.
    for more info:
    https://www.twine.net/signin

    paper Malware Detector

    This project is a hybrid malware detection system that analyzes Windows PE files and predicts whether they are malicious or benign.