Freelancer profile translated to English.
Back to original languageAbout Anass
French
Native or bilingual
English
Native or bilingual
German
Basic
Can work on-site
Paris (up to 50km)
Experience
- SEW USOCOMEData & AI Engineering InternJanuary 2024 - June 2024 (5 months)Strasbourg, France
- Design of a complete image processing and OCR pipeline for extracting industrial information from high-resolution images.
- Training of CNN models (TensorFlow / Keras) for text zone detection and use of EasyOCR for character recognition.
- Fine-tuning of LLMs (GPT, Mistral, Llama) on extracted text to improve understanding and semantic structuring of data.
- Automatic generation of structured outputs (JSON) and integration into a MongoDB database for analysis and visualization.
- SEW USOCOMEAI EngineerJune 2025 - September 2025 (3 months)
- Development of an intelligent assistant based on a RAG (Retrieval-Augmented Generation) architecture to automate access to technical documentation. Implementation of a complete data processing pipeline (ingestion, parsing, PDF segmentation) via LangChain and PyPDF2, with embedding generation and indexing in Milvus for efficient semantic search.
- Orchestration of multiple LLMs (GPT-4, Claude 3, LLaMA 3) with optimization of prompting strategies to improve the relevance and contextualization of responses. Design of an intuitive user interface using Streamlit.
- Deployment of the solution with containerization (Docker) and implementation of performance evaluation via RAGAS (relevance, faithfulness, coherence of responses).
Results: 50% reduction in document search time and significant improvement in response quality. - SEW EURODRIVEData & AI Engineering InternJune 2025 - August 2025 (2 months)
- Design of a predictive maintenance solution for industrial machinery in an Industry 4.0 context.
- Preprocessing and analysis of time series data with InfluxDB and Python (cleaning, imputation, segmentation).
- Development and evaluation of unsupervised anomaly detection models: ConvLSTM-VAE, Isolation Forest, Transformer Informer.
- Deployment of a complete application integrating a FastAPI backend and a Streamlit dashboard for visualization and export.
- Results: early detection of 70% of failures and a 20% reduction in unplanned downtime.
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Education
- Engineering Degree in Data Science & AI (SDIA)Télécom Physique Strasbourg2026Diplôme d'ingénieur en Informatique et Réseaux
- Master in Data Science and Complex SystemsUniversité de Strasbourg2026Master en Sciences des Données et Systèmes Complexes