Projects
Projects in data, software and infrastructure
My work spans the architecture and development of data platforms, applications, AI systems and high-performance computing workloads. From genetics to astronomy, these projects combine modelling, software development and computation optimisation through to integration and production deployment.
Banking and finance
Financial pipelines, data warehouses and AI document extraction.
Financial data-pipeline architecture
Design the processing workflows and infrastructure that turn financial data into models for analysis.
- Airflow
- dbt
- BigQuery
- Terraform
AI extraction of financial data
Extract information from financial announcements and integrate it into a data platform as structured data.
- Vertex AI
- BigQuery
- prompts versionnés
Energy and utilities
Azure platforms, market data and time series.
An energy data platform on Azure
Bring business-application data into an Azure platform and make it available for analysis in Power BI.
- Data Factory
- Graph API
- Business Central
From market publication to SQL time series
Turn electricity-market publications into historical price and volume series that can be queried in a SQL database.
- Python
- Azure Functions
- Docker
- SQL Server
A Python, R and .NET toolkit for electricity-market forecasts
Receive electricity-market forecasts for thirteen countries continuously, keep them in local databases and make them available to analysts through dashboards and R tools.
- Python
- R
- SQLite
- Server-Sent Events
- Plotly Dash
- Shiny
- .NET
Scientific research
Software for genetics research, high-performance computing in astronomy and survey-data engineering.
Automation and high-performance computing for astronomy
Automate the build and deployment of C# astronomical-analysis applications to a high-performance computing cluster using GitLab, Docker and Kubernetes.
- GitLab
- GitHub
- C#
- Docker
- Kubernetes
- HPC
Software engineering for genetics research
Develop tools to collect, process and analyse sequencing data for genetics research.
- Python
- R
- Cython
- MongoDB
- Galaxy
- Snakemake
From survey data to documented datasets
Turn raw survey data into documented datasets with reusable cleaning procedures and variable definitions.
- SPSS
- Stata
- R
- Nesstar
- LimeSurvey
Logistics and transport
Machine-learning APIs and tracking-system operations.
Machine-learning fraud detection in the supply chain
Flag likely fraud in an international logistics group’s shipment data with a machine-learning model served through an API.
- FastAPI
- Redis
- scikit-learn
- Teradata
- Docker
- OpenShift
Technical operations for a logistics tracking system
Diagnose an international shipment-tracking platform through its services, logs and data.
- UNIX
- WebSphere
- Oracle
- SQL
- Shell
Culture, media and associations
CRM integration, data analysis and applications for cultural activities.
From CRM to analytical data
Connect CRM data with analytical tools and develop dashboards for a media foundation.
- JavaScript
- SQL Server
- Tableau
- Looker Studio
Data automation for a cultural event
Automate data preparation for a cultural event and manage its web content.
- Power BI
- Python
Software and IT systems
APIs, development agents, storage, enterprise-service administration and device management.
Automation of enterprise-service administration
Develop administration automation tools for an Azure, Microsoft 365 and SharePoint environment used across multiple sites.
- Azure
- Microsoft 365
- SharePoint
- Automatisation
An agent environment for software development
Integrate AI agents into software development with code access, working tools and change verification.
- Copilot
- Claude Code
- MCP
Systems and storage engineering
Work on the technical layers connecting servers and applications to enterprise storage systems.
- FC
- iSCSI
- NAS/SAN
Intune inventory and device-estate reconciliation
Provide a consistent view of devices and configurations by reconciling information from several administration tools.
- Microsoft Graph
- Intune
- Python
- pandas
- SharePoint
A first conversation, no commitment
A discussion of your project, implementation options and timeline. A direct reply, usually within one working day.