By day, I run the engine room of a systematic fund.
I build, optimize and run Longboard's trading systems, mostly on my own. That covers the platform that turns market data into each day's trades, the pipelines that keep our books in step with custodians, and the cloud under all of it.
Lately it also means putting language models to work on real operations, with guardrails, so the team can ask the book a question in plain English and get an answer they can trust.
- Trade generationPython, Django and Celery jobs that run every night and every morning.
- Data plumbingCustodian and market data feeds, parsed, reconciled and checked.
- InfrastructureAWS, moved from CDK to Terraform, with n8n for the glue work.
- AI in operationsAn MCP server over the firm's data, so agents read the truth instead of guessing.