Python engineers who write production code — not notebooks with tests.
Python is our workhorse for backends, data, and AI. We write it with type hints, proper packaging, and the same rigor we'd apply to Go or TypeScript — because once it's past the prototype stage, the sloppy-Python tax is real and expensive.

mypy, pydantic, pytest — not optional. The Python we ship reads like a statically-typed codebase.
From pandas pipelines to PyTorch training loops to Vertex AI deployments, we know the whole stack.
uv, Poetry, Docker multi-stage builds — dependency management that doesn't ruin your week.
Typed, async Python APIs with OpenAPI generation, proper auth, and the observability to debug them in prod.
Airflow / Prefect orchestration, pandas / Polars transforms, and pytest coverage you can actually trust.
PyTorch training, ONNX deployment, feature stores, and evaluation harnesses that catch regressions.
LangChain and bare-metal OpenAI / Anthropic SDK work with retrieval, tool use, and proper caching.
