FAKHREDINE ATALLAH

Data Scientist

Actually

Highly motivated and skilled AI/Data Science professional with a strong foundation in machine learning, deep learning, and software development. Proven ability to build, deploy, and optimize AI solutions across various domains, including computer vision, natural language processing, and predictive modeling. Proficient in a wide range of technologies, including Python, TensorFlow/Keras, PyTorch, cloud platforms (AWS), and DevOps practices. Seeking a challenging role where I can leverage my expertise to drive innovation and deliver impactful results.

Technical Skills

Extensive experience in AI and software development, from pre-production to production

• Tensorflow/Keras, Pytorch
• PYTHON, LLM, CV, NLP
• R
• C, CPP, LLVM
• CLOUD : AWS/ECR/S3/DYNAMO
• DOCKER
• GITLAB : CI/CD - Pipelines
• LINUX, BASH, UNIX
• SQL, MONGODB
• PHP
• JAVASCRIPT, HTML, CSS
• Angular, React-Native, Ionic2-3, NodeJS
• Laravel, POO, MVC
• Django, Tkinter

Professional Experience

2024 - 2025 Data Scientist - at Meedoo AI – Paris

• Custom LLM Development:
• Leading the design and training of a custom Large Language Model (LLM) leveraging
• TensorFlow and the Hugging Face Transformers library. The model is architected for
• domain-specific natural language understanding, fine-tuned on curated datasets to improve task precision,
• reduce hallucinations, and optimize inference time for production deployment.
• AI for Crypto Market Forecasting:
• Developed and trained two advanced AI models for Bitcoin market trend prediction, combining deep
• learning with Deep Reinforcement Learning (DRL) for dynamic strategy adaptation. Real-time data is
• continuously streamed and processed via the Binance API, enabling the models to adjust to market volatility
• and optimize predictive accuracy.
• Tech Stack & Strategy Alignment:
• Integration of scalable ML pipelines for experimentation and deployment, with a focus
• on real-time inference, model retraining loops, and API-driven architecture. Emphasis on business applicability, including
• financial decision support, risk analysis, and intelligent automation for trading systems.

2020 - 2024 Data Scientist - at Capgemini Engineering – Lab R&D – Illkirch-Graffenstaden Bas Rhin

• Artificial Intelligence Development:
• Medical AI for Open-Heart Surgery Support: Designed and developed an AI model capable of detecting
• catheters’s head in medical imaging to assist surgeons during open-heart procedures, enhancing precision and
• reducing operational risk.
• Research Contribution :
• Authored multiple internal scientific reports and technical documents detailing research
• methodologies, experimental results, and innovations derived from these projects, contributing to the
• company’s R&D knowledge base.
• Extensive experience in designing and implementing advanced AI systems, including:
• Voice-to-Text (Speech Recognition): Development of robust models for real-time and batch audio transcription.
• Audio Denoising: Implementation of AI-powered noise reduction algorithms to improve audio clarity and usability.
• Sentiment Analysis: Construction of NLP pipelines for extracting emotional tone and intent from text across various languages and platforms.
• Text-to-Speech (TTS): Creation of natural-sounding voice synthesis models tailored for accessibility, virtual assistants, and automated systems.
• AI-based Visual Recognition:
• Deployment of computer vision models for identifying and classifying objects, faces, and scenes with high accuracy.
• AI-based Visual Detection:
• Real-time detection systems for object tracking, anomaly detection, and automated surveillance.
• Amazon Web Services (AWS):
• Proficient in designing and deploying cloud-native solutions using AWS services, including:
• Lambda Functions (Standard & Dockerized): Development of lightweight, event-driven serverless
• functions, including containerized Lambda deployments for enhanced portability and custom runtime support.
• DynamoDB Data Management: Hands-on experience with designing scalable NoSQL database schemas, data manipulation,
• and performance optimization in DynamoDB.

2019 - 2020 Data Scientist - at Archean Vision – Paris

• AI-Powered Diamond Authentication:
• Developing an advanced AI system dedicated to the detection and authentication of natural versus synthetic diamonds.
• By integrating deep learning with high-resolution imaging technologies, our solution significantly enhanced the
• precision and efficiency of gemological inspections in both industrial and retail contexts.
• Key contributions and achievements:
• Computer Vision Algorithms: Spearheaded the design and training of deep
• learning models to analyze microscopic visual features and spectral data, enabling high-precision differentiation
• between natural and lab-grown diamonds.
• International Collaboration:
• Worked closely with partner companies in Turkey and Belgium to ensure the
• integration of regional gemological standards and adaptability to various production environments.
• Scalable AI Pipeline:
• Engineered a scalable and modular AI pipeline capable of processing extensive volumes of gemstone imagery while maintaining
• consistent performance across diverse datasets.

2017 - 2019 Developer Full Stack - at Octopeek – Ile-de-France

• Back-End Development:
• Developed a custom PHP framework at Octopeek, enhancing code structure, scalability, and reducing development time.Expertise
• in PHP, RESTful API design, database modeling, secure authentication systems, and performance tuning for high-concurrency environments.
• Mobile Application Development (React Native):
• Led end-to-end mobile app development, from architecture to deployment on App Store/Play Store. Optimized
• cross-platform apps for iOS and Android, ensuring native performance. Delivered features like real-time API
• integration, push notifications, offline mode, and secure user authentication.
• Front-End Integration:
• Experience with ReactJS, Angular, and jQuery for building front-end interfaces. Proficient in seamless REST API
• integration and UI optimization for desktop and mobile browsers. Focused on clean UI/UX and reliable performance
• across various enterprise and consumer-facing applications.

2014 - 2016 Technicien – at ADN Access Data Networks – Gennevilliers

• Provided technical support and ensured the maintenance of servers and computer systems for partner schools, ensuring
• optimal performance and minimal downtime.

Education

2020 - 2021 Simplon Île-de-France (IdF) Powered by Microsoft

• Data AI
• Deep Learning, Deep Reinforcement Learning

2019 - 2020 Udacity

• Self Driving Car
• computer vision, deep learning et sensor fusion
• stack : tensorflow/keras, python, cpp
• calibration de camera (open cv)
• filtre de kalman

2017 - 2019 Web@cadémie by Epitech

• Web
• Web frameworks

2014 - 2019 EPITECH - European Institute of Technology

• Computer Science, specialize in backend programing language

2014 - 2014 3W Academy

• Web Specialisation

Certifications

Languages

• French (Native)
• Arabic (Native/Fluent)
• English (Fluent)