Generative AI and LLM development
Scoping, prompts, structured output, evaluation and the Python backend for a feature that uses a large language model.
Services
What I can help with, from language model features and retrieval to agents, orchestration, NLP and the product built around them.
Scoping, prompts, structured output, evaluation and the Python backend for a feature that uses a large language model.
Ingestion, retrieval, reranking and evaluation for assistants that answer from your documents and cite their sources.
Deciding whether several agents are justified, then designing their roles, tool access, coordination and limits.
Explicit routing, bounded retries, resumable runs and review pauses for workflows too branched for plain function calls.
Classification, extraction and text search in Python, choosing between rules, classic machine learning and LLMs per task.
The APIs, background jobs, data storage and interface that put a model or agent in front of users.