Eduard Shavyrko
Senior Frontend / Full-Stack Engineer — React / Next.js / TypeScript · Node.js backend · AI-native delivery (RAG, evals, CI gates) · LATAM-remote · full US-hours overlap
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Selected work
Insurance Compliance Copilot
Jun 2026
A live, eval-gated compliance copilot over US insurance law — RAG with section-level citations, a human-approved diff workflow, and a Promptfoo CI quality gate. Self-built to demonstrate end-to-end AI product engineering.
- TanStack Start
- React
- TypeScript
- Cloudflare Workers
- Workers AI
- pgvector
- RAG
- Promptfoo
- MCP
Monetarium Explorer
Mar 2026 – present
Adapting a 10-module Go-backed block explorer to a multi-coin chain — cross-stack senior work, custom AI-agent skills that scale architectural analysis, and process and test tooling introduced from scratch.
- Stimulus
- Webpack
- SCSS
- uPlot
- Go templates
- WebSockets
- Vitest
- Claude Code
Monetarium — Marketing Site
Jun 2026 – present
The public marketing site for the Monetarium chain — a fully static Astro build shipping ~zero JS, a runtime-swappable monochrome design-token system, self-hosted fonts, and a whitepaper→PDF pipeline. Same client engagement as the block explorer; sole frontend.
- Astro 7
- Tailwind CSS v4
- TypeScript
- Cloudflare Workers
- GitHub Actions
- Paged.js
- Vitest
- Claude Code
Oil & Gas ERP
Jan 2022 – 2024 (~3 years, 2 phases)
Built the Billing MVP frontend from scratch (1 of 3 FE) for a 1,500-employee US oil & gas client — the MVP that won a multi-year ERP contract — then led the frontend on the CRM sub-system for ~22 months.
- React
- Next.js
- TypeScript
- GraphQL
- Apollo Client
- Ant Design
- Turborepo
Service-Message Viewer
Oct 2020 – Mar 2021 (~6 months)
Greenfield React rewrite of a legacy Java + jQuery monolith's frontend — a real-time service-message viewer for the financial sector, streaming server-pushed events into a live, filterable data table. Shipped a working MVP.
- React
- Socket.IO
- SCSS Modules
Beyond the case studies
I publish reusable AI-agent tooling at edshav/skills — harness-agnostic skills for AI coding agents, extracted from real work. More on my GitHub profile.