
AI Engineer with 1+ years in Machine Learning & DevOps
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Assessing your cultural and operational fit
2nd-Year Engineering Student specializing in Computer Networks & Telecommunications, with hands-on experience in AI and software development. Proficient in Python, Java, and C/C++, and experienced with frameworks like TensorFlow, PyTorch, and FastAPI. Successfully delivered projects in fraud detection, posture monitoring, and sentiment analysis, demonstrating strong problem-solving and implementation skills. Eager to contribute to innovative projects and research collaborations.
INSAT – University of Carthage
Engineering Studies · Computer Networks and Telecommunications
August 1, 2022 – Present
Lycée Pilote de Nabeul
Baccalaureate · Technical Sciences
N/A – May 31, 2022
Welyne
AI Engineering Intern
August 1, 2025 – Present
India
PCPConsulting
Software Engineering Intern
July 1, 2025 – Present
India
Graph Neural Networks for Transaction-Level Fraud Detection
June 1, 2026 – Present
Detected fraudulent transactions in Ethereum blockchain using GNNs. Modeled transaction history as heterogeneous graph. Applied GCN architectures.
Sitting Posture Detection Using YOLO
April 1, 2026 – Present
Computer vision system for real-time ergonomic posture monitoring. Trained YOLOv8 on custom dataset. Built inference pipeline with OpenCV and deployed as desktop application.
Customers Review Analysis for Hotels (NLP)
December 1, 2025 – Present
Sentiment analysis and aspect-based extraction on hotel reviews. Preprocessed 50k+ TripAdvisor reviews, built LSTM and BERT-based classifiers, developed interactive dashboard using Streamlit.
AI-Powered Web Exploitation and Intelligent Fuzzing Tool
January 1, 2025 – Present
Automated penetration testing tool combining AI-based vulnerability detection and intelligent fuzzing.
Aviatrix Multicloud Network Associate Certification
Aviatrix
June 1, 2026 – Present
CCNA: Introduction to Networks
Cisco
June 1, 2026 – Present
CCNA: Switching, Routing and Wireless Essentials
Cisco
June 1, 2026 – Present
Kaggle: Intermediate Machine Learning & Introduction to Machine Learning
Kaggle
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects cover a broad range of AI applications, from fraud detection and computer vision to NLP and cybersecurity, indicating a diverse interest and willingness to explore different domains. Involvement in multiple student organizations and leadership roles suggests a collaborative spirit and initiative. The combination of AI, networking, and DevOps skills, along with an interest in technological innovation, aligns well with a dynamic, fast-paced AI engineering environment. The candidate's current enrollment in an engineering program and ongoing internships demonstrate a strong drive and commitment to professional growth.
Soft Skills & Operational Fit
The candidate's involvement in various associative and extra-curricular activities (External Relations Manager, Sponsoring Manager, Organization Manager) suggests strong organizational, leadership, and teamwork skills. These experiences indicate a proactive attitude and ability to collaborate, which are beneficial for operational fit within a team. The diverse project types also show adaptability and problem-solving capabilities.