AI & Data
Owns the data and the intelligence on it.
- Python in production, beyond scripts and notebooks
- Data collection that runs unattended: scrapers, API integrations, ETL on a schedule, with retries and change detection
- SQL databases: schema design, indexing, query performance at real volumes
- LLM engineering: prompt design, structured outputs, tool/function calling, streaming
- RAG: chunking, embeddings, vector search, answers grounded with sources
- Evaluation and cost control: measuring output accuracy, keeping token spend predictable