About Slim
Ingénieur en génie logiciel spécialisé en IA (NLP, LLM, RAG) avec une expérience de plus de 4 ans. J'ai contribué au développement de project AI dans des environments de startups. Mon travail technique a abouti à des publications scientifiques.
Domaines d'expertise:
- Conception et implémentation de solutions basées sur les LLMs
- Implementation Machine / Deep learning Alg.
- Intégration de solutions open-source (openai, ollama ...)
- RAG: connection et échange avec vos documents
- Développement de Chatbot
- Développement backend et microservices
- NLP (data extraction, cleaning, feature engineering...)
- Conseil en stratégie IA
- Formation sur les technologies IA
Méthodologie:
- Scope du projet (Analyse du projet, définition claire et exemples concrets, limitations techniques, faisabilité, délai ...).
- Partie recherche (benchmark des possibles solutions à implémenter).
- Scope du projet (pour revoir ce qui a été échangé en partie une).
- Partie Implémentation (processus itérative).
- Finalisez le projet et accompagnement.
N'hésitez pas à me contacter pour discuter de vos idées en IA et la façon dont je peux vous aider à concrétiser vos projets.
French
Fluent
English
Fluent
German
Fluent
Arabic
Native or bilingual
Spanish
Basic
Remote only
Primarily works remotely
Experience
- Case ResearchSoftware | AI EngineerSOFTWARE PUBLISHINGAugust 2021 - Today (4 years and 10 months)Gênes, ItalyAI Projects:- Working on RAG chatbot using LLM, Langchain, chainlit- Working on document retrieval bot using LLM, Haystack, streamlitMobile Development and Testing:- Developing Android and iOS applications using Flutter and Spring- Flutter application testing (Integration Testing).- Working on a social network app- Participate in the developing ideas (architecture and design system)
- THE MAMA AINLP EngineerSOFTWARE PUBLISHINGNovember 2021 - April 2023 (1 year and 5 months)Prague, Czechia- Named Entity Detection for banking ticket systems (NLP)- Anomaly Detection for runtime deployed applications using python- Active Learning and Surrogate Modeling for crash severity prediction using python- Intent and Entities extraction API using fastapi and kubernetes
- Paper Release (L Hyncik, A Talimian, J Vychytil, J Kleindienst, S Gharbi, P Ziazopoulos ”Real-Time Injury Assessment in Non-Standard Seating Configurations in Highly Automated Vehicles using Digital Twin and Active Learning” WCX SAE World Congress Experience)
- Startup ICompassNLP InternSOFTWARE PUBLISHINGJanuary 2021 - January 2021Tunis, Tunisia- Working on Tunisian hate and abusive speech Detection.- Annotation process of a new dataset of Tunisian comments collected from different social media platforms.- Feature engineering (N-grams, TF-IDF, Imbalance Resolution)- Applying machine learning algorithms (SVM, NB, RF, Logistic Regression).- Applying deep learning models (BERT, XLM-R)- Benchmarking between traditional ML & DL algorithms
- Paper Release: - Gharbi, Slim, et al. ”TEET! Tunisian Dataset for Toxic Speech Detection.” Proceedings of the Fifth Workshop on Widening Natural Language Processing. (November 2021), pp. 5-17. 2021
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Education
- Software Engineering DegreeMedtech South Mediterranean University (ABET accredited) (Tunisia)2021
- Bachelor in Industrial Engineering and FinanceKarlsruhe Institute of Technology (Germany)2017