FAKHREDINE ATALLAH

Founder & CEO | MeeDoo AI

Executive Profile

Tech-entrepreneur and AI expert with 10+ years of experience developing innovative AI solutions. Founder of MeeDoo AI, a startup specialized in customized Large Language Models and predictive AI. Combining strategic vision with deep technical expertise, I have designed and deployed high-impact AI solutions in computer vision, NLP, and predictive modeling for critical sectors (healthcare, finance, industry).

Articles (incomming)

Forget the cloud. We’re exploring a world where AI thrives locally on ARM-powered silicon. A key focus of our research was mitigating hallucination and bias in the MEEDOO AI model’s outputs, which we achieved primarily through a sophisticated Deep Reinforcement Learning (DRL) framework, integrated with a Reinforcement Learning from Human Feedback (RLHF) pipeline.

Technical Skills

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

• AI & Machine Learning : TensorFlow/Keras, PyTorch, LLM, Computer Vision, NLP, Deep Reinforcement Learning
• Languages : Python, R, C, CPP, LLVM
• Cloud & DevOps : AWS (ECR/S3/DYNAMO/Lambda), Docker, GitLab CI/CD Pipelines
• Systems : Linux, Bash, Unix
• Databases : SQL, MongoDB, DynamoDB
• Backend : PHP, Laravel, NodeJS, Django
• Frontend & Mobile : JavaScript, HTML/CSS, Angular, React-Native, Ionic

Professional Experience

2024 - Present Founder & CEO - at MeeDoo AI – Paris

• Strategy & Leadership :
• Founded an AI startup specialized in custom LLMs for enterprises [1].
• Developed a proprietary LLM with fine-tuning on specific business datasets, optimized to reduce hallucinations through a Deep Reinforcement Learning framework integrated with RLHF [1].
• Architected scalable ML pipelines with focus on real-time inference and retraining loops.
• Products & Innovation :
• Designed a predictive AI system for the crypto market (Bitcoin) combining Deep Learning and Deep Reinforcement Learning, with real-time data via Binance API [1].
• Implemented an API-driven architecture for intelligent automation of trading systems.

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

• Critical Medical AI :
• Designed an AI model for catheter detection in medical imaging to assist surgeons during open-heart procedures – improving surgical precision and reducing operational risks [1].
• R&D Contributions :
• Authored multiple internal scientific reports and technical documents contributing to the company’s intellectual property [1].
• Developed comprehensive AI systems: Speech-to-Text, audio denoising, sentiment analysis, Text-to-Speech, visual recognition, and real-time detection [1].
• Amazon Web Services (AWS) :
• Architected cloud-native AWS solutions: Lambda Functions (standard & Dockerized), DynamoDB, scalable serverless deployments [1].
• Designed optimized NoSQL schemas, data manipulation, and performance optimization in DynamoDB [1].

2019 - 2020 Data Scientist - at Archean Vision – Paris

• AI-Powered Diamond Authentication :
• Developed an AI system for authenticating natural vs synthetic diamonds – integrating Deep Learning with high-resolution imaging for industrial gemological inspections [1].
• Key Achievements :
• Designed and trained Deep Learning models to analyze microscopic visual features and spectral data for high-precision differentiation between natural and lab-grown diamonds [1].
• International collaboration with partners in Turkey and Belgium [1].
• Engineered a scalable and modular AI pipeline for processing large volumes of gemstone imagery [1].

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

• Back-End Development :
• Developed a custom PHP framework enhancing code structure and reducing development time [1].
• Expertise in PHP, RESTful API design, database modeling, secure authentication systems, and performance tuning for high-concurrency environments [1].
• Mobile Application Development (React Native) :
• Led end-to-end mobile app development: architecture, App Store/Play Store deployment, real-time API integration, push notifications, offline mode, secure authentication [1].
• Cross-platform iOS/Android optimization with native performance [1].
• Front-End Integration :
• Front-end integration with ReactJS/Angular/jQuery with UI/UX optimization for desktop and mobile applications [1].

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

• Provided technical support and maintenance of servers and computer systems for partner schools, ensuring optimal performance and minimal downtime [1].

Education

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

• Data AI
• Deep Learning, Deep Reinforcement Learning 2019 - 2020 Udacity
• Self Driving Car Nanodegree
• Computer Vision, Deep Learning, Sensor Fusion
• Stack : TensorFlow/Keras, Python, C++
• Camera calibration (OpenCV), Kalman Filter

2017 - 2019 Web@cadémie by Epitech

• Web
• Web frameworks 2014 - 2019 EPITECH - European Institute of Technology
• Computer Science
• Specialization in backend programming 2014 - 2014 3W Academy
• Web Specialisation

Languages

• 🇫🇷 French (Native)
• 🇬🇧 English (Fluent)
• 🌍 Arabic (Native/Fluent)