TANYA BABITSKAYA / SYSTEMS THINKING / CLOUD / SECURITY

Clarity is
a system.

I believe in clean code, strong CI/CD, and calm clarity in infrastructure.

Cloud Architecture & Infrastructure · AI Safety · Security

Enter the projects ↗Safe Systems ↗

9 years running AWS in production
Infrastructure Lead · AWS SME · Gdynia, Poland

GitHub ↗LinkedIn ↗Credly ↗

Clean codeClear, maintainable engineering

Strong CI/CDReliable delivery, built into the workflow

AI Safety & SecurityTrust boundaries, identity, and privacy

01 / PROJECTS I’M BUILDING

Tools at the boundaries.

Open-source tools and personal experiments
in cloud infrastructure, AI safety, and security.

Knowledge & agentsOpen source

Engineering OS

A local knowledge system for infrastructure engineers. Obsidian vaults, hybrid search, and grounded context for AI agents.

ObsidianLocal RAGTypeScript

GitHub Docs

Identity & trustProof of concept

MCP SVID Auth

AI agents authenticate with their workload identity. Short-lived, audience-bound access to MCP tools through SPIFFE.

SPIFFEOAuthMCP

GitHub Docs

Cloud & deliveryDeveloper tool

ECS Contract

A clear boundary between infrastructure and application deployments. Check who owns each field before configuration reaches ECS.

AWSECSCI/CD

GitHub

Healthcare & privacyPrototype

HIPAA FHIR MCP

A FHIR R4 MCP prototype exploring privacy-aware audit trails and the controls needed for healthcare integrations.

FHIRMCPPrivacy

GitHub

The site you’re visitingWebsite

tanya.engineer

An evolving home for my engineering work and writing. Built with Astro and delivered through AWS.

AstroAWSDesign

Visit site

Personal systemsWebsite

tatsiana.ai

I write about the systems I build in my own life — and what I learn from living with them.

Systems thinkingPersonal OSWriting

Visit site

02 / THE ENGINEER BEHIND THE WORK

Infrastructure.
Safety by design.

I’m Tanya, an Infrastructure Lead at Flare Emergency Response and an AWS SME. I’ve spent 9 years running AWS in production. My work connects cloud infrastructure with AI safety and security: clear trust boundaries, workload identity, privacy, and reliable delivery.

Full experience & education ↗

2025 — PRESENT