About Mohamed
A passionate AI Engineer with over five years of experience delivering end-to-end Data Science and AI solutions across industries including supply chain, finance, insurance, telecommunications, and transportation within medium to large enterprises. I specialize in designing and leading impactful projects that address complex business challenges through data, AI, and modern web technologies.
Known for a structured and pragmatic approach, I combine rigor, efficiency, and adaptability to build scalable, production-ready solutions that deliver measurable value. My expertise covers CI/CD, MLOps, and the design of robust, flexible data and AI pipelines aligned with evolving business needs.
With a strong balance of technical and functional skills, I contribute across the full data value chain, from problem framing to deployment, while understanding business constraints and leveraging cutting-edge technologies to deliver innovative and actionable solutions.
French
Native or bilingual
English
Fluent
Arabic
Native or bilingual
Can work on-site
Dubai (up to 50km)
Experience
- DataikuSenior AI EngineerDIGITAL AND ITOctober 2024 - Today (1 year and 8 months)Dubai, United Arab EmiratesAs a Senior AI Engineer, I harness Dataiku's advanced capabilities and AI to design and deploy scalable, innovative solutions that drive efficiency, foster innovation, and enable data-driven decision-making across different sectors.Key Projects:1) Auto-Insights AI Agent (GenAI-powered)
- Designed an end-to-end GenAI agent in Dataiku to automatically explore datasets, extract business insights, and generate executive-ready reports and visualizations.
- Built a scalable LangGraph-based multi-agent architecture with structured planning, tool orchestration, and full execution traceability.
- Developed an interactive Vue.js web application integrated with Dataiku workflows, enabling users to configure analyses, monitor agent execution, and explore generated insights.
2) Financial Analytics Web Application- Designed and developed, for a major French banking client, an interactive web application enabling financial data exploration, KPI analysis, and scenario-based simulations.
- Implemented a modern Vue.js frontend integrated with backend APIs, Dataiku datasets, and automated validation workflows.
- Empowered business and functional teams to run financial scenario simulations supporting high-level, data-driven decision-making.
3) Ticket Support AI Agent (GenAI-powered)- Designed a GenAI-powered AI agent with the primary objective of helping customer service teams resolve support tickets faster through intelligent search using RAG and advanced agent capabilities.
- Integrated the agent with the ticketing system to automatically resolve tickets or draft ready-to-use responses, significantly reducing resolution time and manual effort.
- Extended the solution with a chatbot mode to assist technical teams through interactive troubleshooting and batch ticket processing via seamless ticketing system interactions.
4) Financial Analysis AI Agent (GenAI-powered)5) SAS-to-Dataiku Conversion AI Agent (GenAI-powered)6) Anti-Money Laundering (AML) Solution - GEODISSenior Data EngineerLOGISTICS AND SUPPLY CHAINMay 2024 - October 2024 (5 months)Paris, FranceAdditional Responsibilities:• • Partnered with Dataiku's Solutions Engineering group to enhance platform capabilities and address domain-specific challenges.• • Identified, scoped, and developed "ready-to-use" solutions tailored to the unique needs of the financial services and insurance sectors.• • Provided ongoing reinforcement and user adoption support for delivered solutions, ensuring long-term impact and scalability.Environnement: Dataiku, GenAI, AI Agent, LangChain, LangGraph, RAG, Web Development, Vue.js, Python, Spark, SQL, SAS, AWS, Github, AML, KYC… As a Senior Data Scientist/Engineer and Tech Lead Dataiku at Geodis, I play a key role in the company's digital transformation by participating in strategic projects such as system migration and advanced data analysis to identify business opportunities.
- BNP PARIBASData Engineer - Expert DataikuBANKING AND INSURANCEJune 2022 - Today (4 years)Paris, FranceAs a Data Engineer consultant, my main role within the Data Management team is to participate in the migration of all SAS applications to a Big Data solution.My daily work consists of the following tasks:• Migrated a legacy reporting chain of credit risk kpis from SAS to a big data platform (HDFS - Dataiku).• Designed HDFS data structure and Dataiku workflows for the new reporting chain.• Implemented efficient and optimized workflows using Pyspark and Dataiku's functionalities.• Industrialized and automatized processes via Dataiku's scenarios.• Defined and implemented release process on different environments.• Conceived services and solutions on the new platform to meet workflow development, release management,data governance and documentation needs.• Upskilled and trained team developpers in coding best practices to enable them to create efficient workflows.• Worked cross-functionally with other departments to ensure project objectives are met.Environment: Dataiku, Pyspark, Python, Hive, SQL, SAS, Confluence.
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Education
- Master of EngineeringEcole Centrale Paris2019Applied Mathematics for Data Science
- Master of ScienceParis Saclay University2019Statistics and Finance