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yaroslavstrs

Yaroslav Ciaz

@yaroslavstrs

Full Stack Developer Web Apps AI Automation

Géorgie
Anglais
Certaines informations sont présentées en anglais.
À propos de moi
I build production ready web applications and AI systems for founders and teams. My work includes real time collaboration platforms, AI agent tooling, RAG applications, microservices, and secure MCP servers for controlled access to databases and internal tools. I work with Next.js React Rust Python PostgreSQL Docker and modern AI tools. I focus on clean architecture, dependable delivery, and software you can run, maintain, and own.... Plus d’infos

Compétences

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yaroslavstrs
Yaroslav Ciaz
hors ligne • 
Temps de réponse moyen de 1 heure

Voir mes services

Intégrations IA
I will build a custom mcp server for claude and chatgpt integration
De120 $US / projetPlus de détails
Programmation et Tech
I will build a scalable end to end saas web app mvp or ai app
De50 $US / projetPlus de détails

Portfolio

Expérience professionnelle

Freelancing_Career

Independent Full-Stack and AI Systems Developer

Freelancing Career • Indépendant

Jul 2024 - Jul 2026 • 2 yrs

Designing and building complete software systems independently — from architecture through deployment-ready code — across web platforms, AI agent tooling, and RAG products. Selected work: Built a real-time collaborative developer workspace (Next.js, Yjs, Rust-adjacent execution isolation) combining code editing, native diagrams, and reviewable AI-assisted drafts. Built a microservices-based booking platform with a Telegram bot, payment sagas, calendar sync, and full production observability (Prometheus, Grafana, structured logging). Built a local execution debugger for AI coding agents (Rust core, native macOS/Linux apps) that captures and replays agent actions for inspection. Built a source-grounded AI assistant enforcing strict tenant isolation and citation-backed answers across a Rust/Python microservice stack. Built a security-first MCP server giving AI agents safe, read-only Postgres access via AST-based SQL validation. Each project follows the same standard: clean service boundaries, real automated tests, and honest security/operational models rather than demo-only shortcuts.