At Corvus Research, I build agentic AI systems for a quantitative research firm, working with Claude Code day to day. I designed and built an automated pipeline that collects US stock data for long/short strategies through earnings season, replacing a manual daily process and saving analysts hours every month.
I also built and own the earnings-season FastAPI service, which provides live and historical earnings snapshots for US equities through REST endpoints over PostgreSQL. I run on-prem AI inference behind a gateway, with routing that can burst to a third-party provider when local servers are busy.
I own DevOps for the work, including GitLab CI/CD pipelines, Kubernetes deployments, and the financial-data PostgreSQL schema. I’m also leading the company’s ISO/IEC 27001:2022 implementation alongside the CEO, and mentor interns on APIs, AI agents, and serverless computing.
