From February to May 2026, I joined Sillage for a 3-month mission as a software engineer in their 3-person engineering team. Sillage is a B2B sales signals platform that uses AI agents to detect buying signals and help sales teams target the right accounts.
I architected a multi-provider deep research pipeline with Claude as the fit-scoring layer, including the full signal schema and Strapi data model. I designed an automated bug-fix pipeline connecting Claude Code agents with Notion, GitHub, Linear and Slack to generate AI-reviewed pull requests.
I built dashboard pages for top accounts and company signals with optimized Knex subqueries, URL-persisted filters via TanStack Query and nuqs, and fit-level badges. I set up a complete test strategy using Vitest and Supertest with CI Postgres. I also created cross-tool automation flows in n8n for changelog generation from Linear and GitHub.
DISCOVER PROJECT