Amiel
Vincent
Cañas
7+ years building, automating, and keeping systems alive — across FinTech, SaaS, and web hosting. I architect infrastructure that doesn't sleep, write code that ships, and debug the things others can't.
Engineer.
Operator.
Builder.
I'm a Site Reliability Engineer and Web Developer with a decade of experience spanning FinTech infrastructure, WordPress ecosystems, and SaaS platforms. I started in web design, moved into DevOps, and now live at the intersection of building and operating production systems.
At FluentTech, I architected high-availability infrastructure processing millions of transactions. At Kinsta, I built custom Gutenberg blocks and headless Next.js sites. At SiteHost, I containerized production workloads and built observability pipelines that cut detection time by 75%.
I hold a BS in Computer Engineering and believe good infrastructure is invisible — you only notice it when it's gone.
What I Work With
Tech Stack
Key tools and technologies I use across web development, DevOps, observability, and cloud platforms.
Where I've Worked
Impact at Scale
Personal Work
Built an end-to-end AI-powered lead generation pipeline running entirely on local infrastructure — sourcing prospects from Google Maps, qualifying them with a locally-running LLM using custom scoring logic, drafting personalised outreach emails, and delivering ranked daily digests to Slack. Zero SaaS costs, full data privacy, every scoring rule tweakable in real time. A live proof that intelligent automation doesn't require expensive tooling.
Engineered a full end-to-end news release pipeline for a TSX-listed mining company. Built a custom scraper to extract press release data (title, date, body content) from the client's existing site, then automated bulk import into Webflow CMS via the Webflow Data API. Architected the CMS schema with relational reference fields (Year collection linked to News Releases), mapped all fields correctly for dynamic rendering, and implemented Finsweet CMS Filter for client-side year-based filtering across 200+ press release entries — all without a backend or database.
Self-hosted personal AI agent running entirely on a MacBook M4 Pro (24GB), with WhatsApp as the primary interface. Runs Qwen3.5:27b locally via Ollama with Metal GPU acceleration — no cloud dependency. Ships with Gmail, Google Calendar, GitHub, and web search skills. Cross-session memory via self-hosted Honcho (PostgreSQL + pgvector + Redis in Docker). OpenRouter free tier as cold-start fallback.
Migrated from Hermes to OpenClaw — a 4-agent system (Orchestrator, Coder, Researcher, Scheduler) running as a persistent macOS launchd daemon. WhatsApp as the interface via Baileys. Model-tiered: qwen3:1.7b for fast routing (<3s) and qwen3.5:27b for code generation. Solved shell env isolation in background daemons, Ollama native API tool-calling (no /v1), and process persistence. Morning briefing cron at 8AM. OpenRouter as cloud fallback.
A mockup site built in Webflow using the Client First methodology — a scalable naming and structure system for clean, maintainable Webflow projects. Focused on applying proper class architecture, reusable components, responsive layout patterns, and GSAP animation effects.
A collection of personal repos I've been building and tinkering with — ranging from automation scripts to small web tools. Works in progress, actively evolving as I explore ideas outside of work.
Work Projects— proprietary, no public links
Built a full observability stack using Zabbix and Grafana across hybrid AWS and SiteHost environments — giving teams a single pane of glass for system health and reducing MTTD by 75%.
Collaborated with marketing and engineering to build a custom A/B testing tool — giving the team configurable control over experiments and directly improving site performance metrics.
Redesigned CI/CD pipelines with automated testing, security scanning, and rollback — reducing deployment time by 60% while achieving zero-downtime releases for a FinTech production environment.
Led the containerization initiative — deployed and managed production Kubernetes clusters that simplified deployments, enabled developer self-service, and maintained strict SLA adherence.