01
Microsoft 365 AI assistant
An assistant connected to company documents and conversations, with sourced answers and checks before tool execution.
OutcomeAssistant deployed in a confidential client environment
PythonFastAPIpydantic-ai+3
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I define service interactions, data models and errors, then build the required Python APIs and integrations.
Response within 24h. No sales follow-up if it's not the right time.
Integration starts with system responsibilities, exchanged data and failure cases. Business, development and testing teams need to understand these decisions.
I can scope an existing migration or build a Python backend. We define scope and validation criteria together.
These assignments demonstrate both sides of my work.
Monolith-to-microservices migration
Functional and technical specifications, schemas and errors in OpenAPI contracts
Interfaces validated with development teams; assignment ongoing
Exchanges between Supabase, Airtable and WeWeb
On-demand FastAPI API, structured logs and retries on Railway
Make replaced by an API in the covered workflow
Microsoft 365 document assistant
Python/FastAPI and pydantic-ai API, ingestion and pgvector retrieval
Assistant deployed in a confidential client environment
An assistant connected to company documents and conversations, with sourced answers and checks before tool execution.
Technical analysis for a monolith-to-microservices migration, connecting business, development and testing.
An on-demand API replaces Make to connect Supabase, Airtable and WeWeb.
Identify users, decisions to support, available sources and business constraints.
Define scope, acceptance criteria, access rules and cases requiring human review.
Build incrementally, test failure scenarios and document decisions with the teams.
Prepare go-live, usage monitoring and the measurements needed to evaluate benefits.
Yes. My current Belgian federal administration assignment covers specifications, OpenAPI contracts and coordination across business, development and testing teams.
Scope can include API contracts, data models, tests, deployment configuration and operational documentation. We agree on these deliverables during discovery.
I start with integration needs, operating conditions and team skills. Python/FastAPI is my main backend stack; other choices are possible depending on the product.
An AI use case to scope, an assistant to integrate or a BA assignment to support? Let’s discuss your needs.
Response within 24h. No sales follow-up if it's not the right time.