Turuu Byambaa.SAAS Architect & Full-Stack Engineer
AI products, SaaS systems, data infrastructure, developer tools. Product-minded full-stack engineer from Mongolia focused on turning real-world problems into production software.
Currently focused on · Career Advisor · dev.mn · NoCap
Building Career Advisor on structured Mongolian education data, shipping dev.mn / NoCap frameworks, and writing about AI hype, data systems, and practical software for Mongolian builders.
What I usually build
How I build
real-world software.
Not a skills matrix. The five modules I run in parallel when building products that need to survive actual users.
Product Thinking
Turning unclear problems into useful software decisions.
AI Systems
Agents, RAG, workflows, evaluation, and practical AI features that solve real tasks.
SaaS Infrastructure
Auth, billing, credits, multi-tenancy, roles, subscriptions, and production-ready foundations.
Data Systems
Crawling, extraction, normalization, validation, storage, and knowledge pipelines.
Execution
Designing, building, debugging, deploying, and improving systems end to end.
All five modules run in parallel · always
Systems I have built,
not slides I have made.
Four projects that show how I work: data, AI, automation, and engineering. The first three are mine. The fourth is senior-level professional work.
Experiments that shaped
how I build.
Not every project became a company, but every serious experiment taught me something about product, engineering, distribution, or execution.
CVE Review Agent
Agent workflow for reviewing public repositories and identifying dependency / CVE risk patterns.
AI Code Review Workflow
Repeatable review flow for AI-generated code — review-for-correctness, security, tests, context.
Localhost Tunnel
Single-binary, no-account tunnel for exposing local services to the public internet.
3D Ulaanbaatar Map
A 3D map of Ulaanbaatar as a canvas for civic, education, and infrastructure data layers.
Career Data Crawler
Crawler and normalizer for Mongolian public education and career data sources.
AI Hype Claim Checker
A small framework for pressure-testing AI product claims: Claim → Tactic → Reality → Evidence → Hidden Cost.
Six principles
I keep coming back to.
These are not aspirational. They show up in code reviews, product calls, and architecture decisions.
Build real systems, not demo screens
Software should survive real users, real data, edge cases, and boring production work.
Product clarity before complexity
A clear problem beats a sophisticated architecture built too early.
Useful AI over AI hype
AI is valuable when it reduces real friction, not when added as a marketing label.
Data quality beats model magic
Most AI products fail because the knowledge, structure, and feedback loops are weak.
Distribution is part of the product
A product is not finished when it is built; it must be understood, trusted, adopted, and used.
Small teams need strong systems
Good tooling, automation, and architecture help small teams move like bigger ones without becoming slow.
Notes on AI, data systems,
and the work behind them.
Bilingual — English and Mongolian. Mostly short, opinionated, and pointed at real engineering problems.
Where I have been.
A short version. The full story is in the projects.
2026+
Career Advisor · dev.mn · NoCap
Founder / Builder
Building practical AI, education data systems, developer tools, and public technical literacy projects.
- Career Advisor — AI on structured Mongolian education data
- dev.mn / NoCap — frameworks, content, tools
- AI code review and developer security work
2024–2025
Mazaal AI
Founder / Builder
Built AI automation, agents, integrations, payments, and SaaS infrastructure end-to-end.
- AI agents + workflow runtime
- Credit and billing systems
- ActivePieces, AppSumo, QPay integrations
2023–2024
Fleetbase
Senior Software Engineer
Worked on logistics platform, React Native migration, TypeScript SDK, and team mentoring.
- React Native migration
- JS SDK → TypeScript rebuild
- Architecture support and mentoring
2020–2023
Chinggis Systems
Senior Software Engineer / Cloud Architect
Led engineering, architecture, code reviews, testing, and enterprise systems.
- Engineering leadership and architecture
- Enterprise system design
- Code review culture and testing practice
Open to work
Product, AI, SaaS,
or a developer tool
worth building.
If you are working on something shipping-ready, send a short note. I read every one.