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Регистрация: 12.10.2026

Wissal Boulabiar

Специализация: Artificial intelligence
Junior AI Engineer with an engineering background in Artificial Intelligence and hands-on experience in Machine Learning, Deep Learning, NLP, RAG, and EEG/BCI research. Proficient in Python, PyTorch, Scikit-learn, and Hugging Face, with experience developing AI systems through research projects, internships, and applied engineering work. Experienced in continual learning and EEG decoding, as well as ML-based cybersecurity solutions. Looking for a junior AI/ML Engineer opportunity where I can contribute to real-world AI projects and further develop my technical and research skills.
Junior AI Engineer with an engineering background in Artificial Intelligence and hands-on experience in Machine Learning, Deep Learning, NLP, RAG, and EEG/BCI research. Proficient in Python, PyTorch, Scikit-learn, and Hugging Face, with experience developing AI systems through research projects, internships, and applied engineering work. Experienced in continual learning and EEG decoding, as well as ML-based cybersecurity solutions. Looking for a junior AI/ML Engineer opportunity where I can contribute to real-world AI projects and further develop my technical and research skills.

Скиллы

python
Machine Learning
Deep Learning
PyTorch
Scikit-learn
Hugging Face
C++
Bash
SQL
PostgreSQL
MongoDB
Streamlit
Matplotlib
Linux
Windows Server
Pandas

Опыт работы

Ml engineer
02.2026 - 08.2026 |alliance software
AI-Assisted SDN Network Security
ML Research
07.2025 - 08.2025 |Mediatron Lab
Python, RAG, Prompt Engineering
● Collected and structured a large corpus of exam questions and course materials to build an educational Retrieval-Augmented Generation (RAG) system. ● Designed the retrieval pipeline to index and search course content, enabling accurate, context-grounded answer generation for student queries. ● Refined prompt engineering and retrieval strategies to improve answer relevance and reduce hallucinations. ● Evaluated system outputs against course material to ensure high-quality, curriculum-aligned educational responses.
Data Science & AI
07.2025 - 08.2025 |HeliTour Tunisia
Python, Pandas, Scikit-learn
● Developed anomaly detection models to identify potentially fraudulent or suspicious reservation behaviors using Python, Pandas, and Scikit-learn. ● Engineered behavioral features and evaluated models using precision/recall trade-offs to minimize false positives. ● Delivered an interactive dashboard for real-time anomaly visualization, supporting operational decision-making and investigation workflows.

Образование

ICT Engineering
2023 - 2026
Higher School of Communication of Tunis (Sup'Com)
Ranked 52/1257 in the national entrance exam for engineering schools
2021 - 2023
Tunis Preparatory Engineering Institute (IPEIT)
Baccalaureate in Mathematics, with Honors (Good)
2020 - 2021
Wafa High School

Языки

АрабскийРоднойФранцузскийПродвинутыйАнглийскийПродвинутыйНемецкийБазовый