Experience

• AI Engineer (fixed-term) since 12/2025; previously Data Scientist apprentice (AI Engineer) from 10/2024 to 11/2025.
• Built the Data/AI platform from scratch and grew it to 28 countries, with roughly 10× the data volume.
• Optimised analytics with ClickHouse to speed up exploration and use of business data.
• Deployed a web API portal on a multi-service VPS architecture with Docker/Kubernetes.
• Developed GraphRAG and knowledge-graph components for agentic workflows and traceability.
• Built the initial reference dataset from scratch with ETL/ELT pipelines in Python, SQL, Snowflake and structured files.
• Implemented normalisation, matching, data-quality controls, processing logs, enrichment and Prophet forecasting.
• Delivered datasets, dashboards, mobility analyses and client deliverables.
• Built internal business-intelligence dashboards and web tools used for market analysis.
• Developed market-intelligence services: news monitoring, tagging and search using embeddings and agents.
• Ran forecasting studies for light-vehicle and micromobility market segments.

Skills used

• GraphRAG
• Neo4j
• ClickHouse
• Snowflake
• Python
• SQL
• ETL / ELT
• Normalisation & matching
• Data quality
• Prophet forecasting
• Docker
• Kubernetes
• API platforms
• Agentic workflows
• Knowledge graphs

Related work

• European Mobility Intelligence Platform
• Agentic Vehicle Intelligence

• Owned product direction and functional design for a suite of business applications — management, point-of-sale, education, healthcare and field-service software.
• Managed delivery: priorities, roadmap, client requirements, acceptance and releases, working with the development team.
• Took products to market with local businesses and institutions, and turned their feedback into the next iteration.
• Hands-on AI work: an LLM workflow on Cloud Run to query Firebase in natural language, plus RAG and analytical pipelines combining business data with LLM answers.

Skills used

• Product ownership
• Requirements
• Delivery & QA/UAT
• Client deliverables
• System architecture
• RAG
• LLM applications
• Prompt engineering
• Firebase
• Cloud Run

• Data-integration system for aviation, transport and logistics environments with Java Spring, ActiveMQ and MySQL.
• Deployed services on CentOS with Docker/Kubernetes and Grafana/Prometheus monitoring.

Skills used

• Java Spring
• ActiveMQ
• MySQL
• Docker
• Kubernetes
• Grafana
• Prometheus
• Observability

• Python/OpenCV system analysing interactions with advertising screens, with an associated IoT web application.

Skills used

• OpenCV
• Python
• Computer vision

Related work

• Audience Analytics with Computer Vision

• Software conceptualisation and structured problem solving following SWEBOK/UML principles.
• Developed a C++/OpenGL library integrated into mapping software, supervised by Dr Oussama Ziadé.

Skills used

• C++ / OpenGL
• UML / SWEBOK
• System architecture