This is a curated shortlist of San Francisco-based software engineers identified through GitHub code analysis. I assembled it as proof-of-work for a non-engineering role at Mechanize. See the methodology for how it was built, and about me at the bottom.
San Francisco, CA · github.com/lacymorrow
20 years shipping production software. Previously at Twilio and Credit Karma. Currently founder of Build And Serve, building AI agents and developer tooling. Top GitHub project is a v0.dev-style promptable app generator for Vite, directly adjacent to Mechanize's interest in AI-driven engineering workflows.
San Francisco · github.com/maxcountryman
Indie hacker focused on Rust infrastructure. Author of tower-sessions and axum-login, both widely-used libraries in the Rust web ecosystem. Top project: underway, durable step functions on Postgres written in Rust. Stack matches the kind of infrastructure thinking RL environment work demands.
San Francisco, CA · github.com/cgcardona
Building TellUrStori, an audio/creative AI product. Active explorer of MCP, multi-agent orchestration, and Claude Code workflows across several personal repositories. Public bio reads "The Singularity is nearer" so they're clearly a committed AI builder.
Bay Area (San Carlos) · github.com/ex3ndr
Twelve years of engineering experience. Early Telegram engineer responsible for assembler-level image preprocessing and custom encryption primitives. Co-founded Openland and the Tact Foundation (smart-contract language on TON). Currently Founding Engineer at Bee, working on LLM-driven mobile AI.
The list was built by searching across ~2,500 GitHub repositories that contained AI-tooling marker files: CLAUDE.md, .cursorrules, AGENTS.md, .windsurfrules, and .aider.conf.yml. These files signal an engineer who has invested in their AI-tooling workflow, the exact archetype Mechanize's interview process selects for.
Each repository was then scored on commit history (50+ commits required), test coverage, complexity, language match (Rust, Go, TypeScript, Python preferred), star count, and recency of commits. Forks, archived repositories, scaffolded templates, and tutorial-following coursework were filtered out.
Users were aggregated from the surviving repositories and ranked. Accounts without a derivable contact channel (e.g., commit email, personal blog, Twitter) were dropped. Organizations, platform accounts, and bot accounts were filtered. The final candidate pool contained 613 individuals.
The six San Francisco-based candidates surfaced by this pipeline were each cross-referenced against LinkedIn and Twitter to verify current location and rule out conflicts of interest. This cross-referencing filtered out two more candidates; one who's currently an Engineering Manager at Anthropic, and one who's the co-founder of Broadcast, an AI meeting-notes startup.
I'm Dennis Gavrilenko. Currently a BCG Associate, avid adventurer, writer, and postcard enthusiast.
I built this pipeline because I want to work at Mechanize and think recruiting, talent, or operations are where I'd fit best. I've applied to the Ops Generalist, Statistician, and Recruiter roles and am happy with any one or a combination of those responsibilities.