SQL & data modelling
Relational schemas, normalization and performant queries in Postgres, SQLite and DuckDB.
Tell me about yours
SQL · Machine Learning · Data Engineering · Backend
I design data-first applications.
From schema and SQL to ML features and the API layer. I make sure your product or internal tool has reliable, well-structured data behind it.
PythonSQLPostgresSQLite / DuckDBPandas / PolarsMachine LearningDjangoFastAPISvelteKitTypeScript
Selected work
Real projects with schemas, APIs and UIs.
No projects indexed yet.
What I deliver
Data science & ML
Feature prep, classical ML, evaluation and small inference services for real products.
Tell me about yoursAPI / backend systems
Django / FastAPI backends, auth, pagination and endpoints for dashboards or CRMs.
Tell me about yoursInternal / analytical tooling
Admin views, reporting layers and data-explorer UIs on top of a clean model.
Tell me about yoursStructured, not improvised.
Start with the data model, expose it through APIs, then add ML where it makes sense. That way your frontends always have a stable contract.
1. Model & SQL
Entities, relationships, indexes.
2. ML / analytics
Feature prep, scoring, reports.
3. Delivery
APIs, internal UI, SvelteKit.
Need a data/ML-focused build?
Share the data sources and the outcome — we can map the schema, the pipeline and the UI/API in one go.