Senior Backend Engineer | Reliable Systems at Scale
9 years of Rails. Now building production AI systems end-to-end - Python, Rust, Ruby, and the infrastructure around them. M.Sc. in ML/distributed systems.
At Hivebrite I cut €160k/year in infrastructure costs, took data exports from days to minutes, and halved build times - while the team grew from 9 to 40 engineers. I care about owning systems, not just passing through them.
Grew up across 6 countries (diplomatic family). 4+ years remote across 5 continents, comfortable async.
Actively looking for full-time or contract roles. seanfloyd.dev has the full story.
claude-rss-news-digest - Production publishing system built end-to-end: Python pipeline for RSS ingestion, Claude curation via MCP with schema-validated output, Rust web server, Terraform-managed deploys. Runs unattended every morning. Wrote about making it reliable.
Rails Core Contribution - Found a production bottleneck, fixed it upstream. 20x-670x speedup in ActiveSupport.
Jazzify - Volunteer platform for Ottawa Jazz Festival. Built and ran it for 9 years. Production Rails, real users, real ops.
still_active - RubyGem to check if your dependencies are still maintained. Scratched my own itch.
- Platform engineering - Rails, PostgreSQL, Redis, Sidekiq, API architecture (Grape, gRPC, OAuth2), Kubernetes, Terraform
- Reliability & cost - performance engineering, infrastructure optimization, CI/CD, monitoring (Datadog, OpenTelemetry)
- Production AI/LLM systems - MCP servers, structured output with schema validation, pipelines that run unattended