Freelancer profile translated to English.
Back to original languageAbout Abdellatif
Passionate about data, I have developed skills in the field of data science that I can leverage to transform your data into added value and thus improve the KPIs of your projects.
My experiences have also allowed me to learn how to manage teams and innovative projects using AI techniques.
Organized, pragmatic, results-oriented while considering the constraints associated with your projects are my main strengths to support you and develop tailor-made solutions for your challenges.
French
Native or bilingual
English
Fluent
Arabic
Native or bilingual
Remote only
Primarily works remotely
Experience
- Capgemini EngineeringData ScientistBIOTECHSeptember 2024 - Today (1 year and 9 months)Lyon, FranceUse of generative AI for industrial purposes to accelerate and improve the research and development process through bio-inspired solutions.Contribution to the construction of a functional and technical architecture for the solution.Selection of relevant and reliable large language models (LLMs) according to the specified architecture.Contribution to the technical development of the product using the LangChain framework.Implementation and performance testing of several LLMs.
- Capgemini EngineeringData ScientistFebruary 2024 - June 2024 (4 months)Lyon, FranceDetection of liquid leaks in production lines using computer vision technology.Research and selection of relevant and reliable models for classification and object recognition.Preprocessing of the acquired dataset, consisting of polarized color images (13K RGBP).Annotation of thousands of images.Contribution to the development of a data ingestion pipeline.Implementation and testing of classification and recognition models.
- Capgemini EngineeringData Scientist & Lead Project ManagerJanuary 2022 - January 2023 (1 year)Lille, FranceAnalysis and creation of Non-Conformance (NC) reports during the aircraft fuselage construction phase (anomaly detection using several deep learning models).Verification of inventory reports for gas installations and equipment (image analysis and text recognition using NLP transfer learning models).Development of a creative design aid tool (Natural Language Analysis and decision support with CamemBERT models and others).A data-driven recommendation system for the design and development of energy-efficient software by applying machine learning, deep learning, and transfer learning methods.Contribution to the design and development of AI models and components.Scientific and technical supervision of a team of engineers, technicians, and interns.Daily monitoring of the progress of four AI research and engineering projects.Reporting and writing of deliverables.
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Education
- Ph.D in Computer MathematicsNational School of Applied Sciences2015Analyse des Données Multidimensionnelles
- MSc in Computer EngineeringFaculty of Sciences2010Qualité Logiciel