Freelancer profile translated to English.
Back to original languageAbout Mohamed
Looking for a Data Scientist?
You are in the right place.
I am a Data Scientist with over 3 years of experience, specializing in the modeling and optimization of AI algorithms in NLP such as LLMs / RAG / Agentic AI, and Computer Vision.
I have worked in various sectors including healthcare, insurance, and IT.
I have collaborated with companies such as Agrolab, Ciusss, Ramq, and Momentum Tech.
I am capable of:
- Feasibility study of your project and specification of your needs.
- Designing, modeling, and maintaining algorithms in line with business needs.
- Implementing and managing ETL pipelines to collect, clean, enrich, and store data.
- Designing AI agents and their workflows, including tools, function calling, and CoT.
- Data analysis and visualization using Power BI and other tools.
- Modeling various AI Supervised & Unsupervised learning algorithms.
- Deploying and maintaining various AI models using cloud solutions for end-to-end solutions like Sagemaker and Bedrock.
- Proposing performance metrics for deployed models for evaluation and monitoring.
I also place great importance on transparency with my clients.
I send a daily report to my clients at the end of the day on all the tasks I have performed.
I am also bilingual in French/English.
Do you have a project?
Contact me!
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km), Marseille (up to 50km), Lyon (up to 50km), Toulouse (up to 50km), Lille (up to 50km)
Experience
- Twains
On Malt
Machine learning engineerSOCIAL NETWORKSMarch 2025 - August 2025 (4 months)Paris, FranceTwains creates your brand's AI chatbot or partner influencers' chatbots to boost your marketing and interact directly with your audience on WhatsApp. An interactive, authentic, and innovative experience that transforms every interaction into an opportunity.- Automatic optimization of agent prompts with feedback on evaluation metrics- Integration of the agentic LLM pipeline via LangGraph / Pydantic / ADK- Integration and optimization of backend infrastructure- Configuration and optimization of various AWS tools (AWS Lambda, AWS Cloudwatch ...) - Axibord ConsultingData ScientistE-COMMERCEAugust 2024 - February 2025 (6 months)FranceAxibord Consulting is a company specializing in web/mobile application development and AI solutions such as: AI Agents, Chatbots, facial recognition, text-to-speech, fraud detection.In less than a year, I joined 2 projects as a Data Scientist: AzirAI, Speechit.As a Data Scientist, my responsibilities included:- Implementation of AI agent workflow pipelines with tools like LangGraph.- Development of agentic tools as per client needs.- Deployment of open-source models like DeepSeek R1 with Quantization methods (qLoRA / PEFT) locally/cloud.- Optimization of AI agents, which reduced latency by 30%.Link to AzirAI website: https://azirai.comLink to Speechit website: https://speechit.ai
- MOMENTUM TECHNOLOGIESData ScientistTELECOMMUNICATIONSMarch 2023 - August 2024 (1 year and 5 months)FranceMomentum Technologies is an IT consulting firm specializing in data with over 20 years of experience, assisting Quebec organizations in managing their data and offering AI solutions to problems in diverse fields.The company has nearly 200 experts, with an estimated impact on over 12 million users and manages over 25,000,000 terabytes of data. Among their clients: Ramq and Ciusss.I joined the Data Scientist team at Momentum Technologies in 2022 to work on client and internal projects.As a Data Scientist, my responsibilities included:- Participation in AI initiative committees: market research, proposal of innovative solutions, improvement of responses to calls for tenders.- Design and implementation of ETL pipelines, feature engineering, data exploration, visualization, and modeling.- Development of a chatbot with an LLM-RAG pipeline, capable of answering over 90% of job seekers' and recruiters' questions.- Development of advanced AI algorithms for fraud detection such as GBM, SVM, DBSCAN.- Implementation and maintenance of developed models on AWS services (S3, Lambda, SageMaker, Bedrock).I contributed to the following developments:- Momentum Technologies' revenue increased by +10%- Extension of several contracts with major groups- Automation of responses to various queries.
Reviews
Y
Yakir
Twains
Several months project
-
Reviewed on 7/1/2025
I had the chance to collaborate with Mohammed at Twains, and I can only highly recommend him. Beyond his human qualities (he is extremely friendly, pleasant, and always positive), Mohammed is a true AI expert, passionate about tech, curious, and possesses an impressive work ethic. He brilliantly resolved complex situations, showed initiative where others would have waited for instructions, and always remained fully invested in the success of our projects. A valuable asset for any ambitious tech team!
Aghiles
Axibord Consulting
Reviewed on 2/11/2025
Another successful mission with Mohamed. Very satisfied with our collaboration. He brought real expertise and quickly took control of the AI part of the application. Once launched, Mohamed is very autonomous and proactive. Feel free to share your ideas with him, he will find a way to make them happen.
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Education
- Data Science Master 2CentraleSupélec2024¤ Parcours d'études Master 2 en Data Science ¤ 1. Ingénierie des Données pour le Machine Learning: Construction de pipelines de données robustes et scalables pour l'ingestion, la transformation et le feature engineering. Maîtrise de Spark pour le traitement distribué de données à grande échelle. Optimisation des performances des pipelines de données pour l'entraînement et l'inférence. 2. Développement et Entraînement de Modèles: Expertise en algorithmes d'apprentissage supervisé (régression linéaire, SVM, arbres de décision, ensembles) et non supervisé (clustering, réduction de dimensionnalité). Sélection et optimisation d'hyperparamètres avec des techniques de Grid Search, Random Search et Bayesian Optimization. Entraînement distribué de modèles sur des clusters avec Spark et TensorFlow. 3. Déploiement et Maintenance de Modèles: Mise en œuvre de pipelines de déploiement automatisés (CI/CD) pour des modèles de Machine Learning. Conteneurisation de modèles avec Docker pour une portabilité et une reproductibilité accrues. Déploiement de modèles sur des plateformes cloud (AWS SageMaker, Google AI Platform) et on-premise. Monitoring des performances des modèles en production et mise en place de systèmes d'alerte. 4. Deep Learning pour le Machine Learning Engineer: Construction et entraînement de réseaux de neurones profonds (CNN, RNN, Transformers) pour des tâches complexes. Optimisation des performances des modèles Deep Learning avec des techniques de réglage fin et de quantification. Déploiement de modèles Deep Learning sur des plateformes cloud et des appareils embarqués. 5. Outils et Technologies Clés: Maîtrise de Python et des librairies de Machine Learning (Scikit-learn, TensorFlow, PyTorch). Expertise en bases de données relationnelles (SQL) Connaissance des plateformes cloud (AWS, Google Cloud, Azure)
Certifications
- Generative AI with Large Language ModelsCoursera2024