About Mohamed Yassine
Senior Data & AI Engineer with 8+ years of experience building scalable data platforms and production-grade AI systems, including LLM-powered applications.
I help companies design and deploy end-to-end solutions combining data engineering, machine learning, and Generative AI — from data pipelines to intelligent applications.
My expertise spans:
• Scalable data pipelines (ETL/ELT, Spark, Airflow, DBT)
• LLM systems (RAG, LangChain, tool-calling, agents)
• Data platforms and distributed systems on AWS & GCP
• Production ML systems and MLOps practices
I specialize in turning complex data and AI problems into reliable, maintainable, and production-ready systems used in real business environments across finance, automotive, and enterprise software.
Currently open to senior roles, freelance missions, and collaborations in AI and Data Engineering.
French
Native or bilingual
English
Fluent
Remote only
Primarily works remotely
Experience
- KPITData & AI Engineer | Team LeaderMarch 2023 - March 2026 (3 years)○ Started, Led and mentored a team that grew from 3 to 8+ data engineers, owning delivery, architecture decisions, and technicalroadmap for data and AI solutions across multiple projects○ Designed and deployed an LLM-based test generation system using LangChain (RAG, toolcalling, MCP), generating structured test cases from specifications and engineering data○ Built end-to-end pipeline including retrieval (vector DB), prompt engineering, evaluation loops,and integration into CI workflows○ Developed APIs and CLI tools enabling seamless integration into existing engineering workflows○ Architected and implemented scalable data pipelines processing multi-source engineering dataacross 5+ projects and supporting tens of dashboards and BI reports, improving data availabilityand reliability for analytics○ Established best practices for code quality, CI/CD, and deployment, reducing production issuesand accelerating delivery cycles○ Collaborated with stakeholders to translate business needs into technical solutions for BI anddashboarding and driving adoption of AI-powered workflowsPython, LangChain, DBT, Airflow, MS SQL, Grafana, Power BI, OpenwebUI, Docker, CI/CD
- VamstarSenior Data EngineerHEALTH AND WELLNESSJanuary 2022 - July 2022 (6 months)3303 N Mississippi Ave #500, Portland, OR 97227, USAWork on AI components of a health care data intelligence platform :- In a Health Care Tendering context, build Machine Learning/ Statistical Solutions for price recommendation and win likelihood prediction- Implement, test and publish the built solutions as APIs
- Openvalue / Société GénéraleMachine Learning EngineerBANKING AND INSURANCENovember 2020 - December 2021 (1 year and 1 month)94120 Fontenay-sous-Bois, FranceAs a Machine Learning Engineer in the team MOSAIC (More Security with Artificial Intelligence), contribute to the development of Anti-Fraud tools based on Machine Learning algorithms.- Building Big Data pipelines- Modelization of customers paiment habits- Training ML algorithms for frauds detection on features that measure the gap between the scored operation and the client habits- Developing a monitoring tool
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Education
- Master of EngineeringEcole Centrale de Nantes2016Master of Engineering (M.Eng.), Engineering
- Master of ScienceUniversité Pierre et Marie Curie (Paris VI)2017Master of Science (MSc), Statistics & Data Science