Freelancer profile translated to English.
Back to original languageAbout Zakaria
🧠AI Engineer | Versatile and Results-Oriented Profile
Graduate engineer from CentraleSupélec in artificial intelligence and holder of a Master's degree in mathematics and computer science from the University of Lorraine, I design and develop intelligent solutions combining software scalability and algorithmic performance.
🔍 With several successful experiences as a Software Engineer, Data Scientist, and Machine Learning Engineer (Air France, Bouygues Telecom, Deloitte, etc.), I work across the entire data value chain:
Development of robust pipelines and APIs (Python, FastAPI, Spark, SQL)
Machine learning & deep learning modeling (XGBoost, PyTorch, TensorFlow)
Implementation of scalable cloud infrastructures (AWS, Azure, Docker)
Exploration of LLM / NLP use cases (conversational agents, semantic search)
Optimization under constraints and scheduling
🧩 I recently developed a job matching conversational agent combining vector search, LLM (GPT-4), and RAG.
đź’¬ Curious, autonomous, and impact-oriented, I am looking to collaborate with ambitious tech and product teams on high-value missions (ML, NLP, backend, applied R&D...).
đź“© Let's discuss your challenges!
French
Native or bilingual
English
Native or bilingual
Can work on-site
Paris (up to 50km)
Experience
- AIR FRANCESoftware EngineerJanuary 2024 - Today (2 years and 5 months)Paris, France
- Optimized flight schedules to balance revenue and operational constraints using C++ and custom heuristics.
- Reduced computation time by 60% through algorithmic improvements.
- Designed and automated end-to-end testing pipelines with GitHub Actions and PyTest.
- Bouygues TelecomData Scientist internMay 2023 - November 2023 (6 months)Meudon, France
- Developed a machine learning model to predict the success or failure of direct debit transactions, using historical payment data and customer behavior and enhanced the data pipeline by engineering new features and eliminating redundant ones.
- Developed a business-focused PoC, resulting in greenlight from senior management.
- Contributed to a 10% improvement in debt recovery and a reduction in churn rate.
- VPDiveDeep Learning EngineerDecember 2022 - April 2023 (4 months)
- Developed computer vision models (Faster R-CNN, PyTorch) to detect marine species (85% accu racy).
- Managed annotation pipeline using Label Studio and applied data augmentation techniques to reduce overfitting.
- Used AWS (EC2, S3) for scalable training and inference.
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Education
- Engineering degree, Mathematics, Statistics and Computer ScienceCentraleSupélec2023Diplôme d'ingénieur, Mathematics, Statistics and Computer Science
- Scientific preparatory classes (Mpsi/Mp)Lycée Mohammed VI d'Excellence2019Classes préparatoires scientifiques( Mpsi/Mp)