turuu
06About

Built through product, engineering, and failed lessons.

Based in

Ulaanbaatar, Mongolia

Working on

Career Advisor · dev.mn · NoCap

Open to

Product, AI, SaaS, and dev tool work

I am Turtuvshin "Turuu" Byambaa, a senior software engineer based in Ulaanbaatar. I build AI products, SaaS systems, and developer tools with founder-level ownership.

I started my career on enterprise systems, moved into consumer-facing logistics, and now run my own AI product work. The through-line is the same: take a messy real-world problem, structure it, ship a system that survives real usage.

I care about taste, performance, and substance. What I care about more: shipped behavior, data quality, and systems that stay maintainable after the launch.

Timeline

Where I have been.

A short version. The full story is in the projects.

  1. 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

  2. 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

  3. 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

  4. 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
Operating System

How I work.

The five modules I run in parallel.

01

Product Thinking

Turning unclear problems into useful software decisions.

02

AI Systems

Agents, RAG, workflows, evaluation, and practical AI features that solve real tasks.

03

SaaS Infrastructure

Auth, billing, credits, multi-tenancy, roles, subscriptions, and production-ready foundations.

04

Data Systems

Crawling, extraction, normalization, validation, storage, and knowledge pipelines.

05

Execution

Designing, building, debugging, deploying, and improving systems end to end.

Principles

What I keep coming back to.

  • 01

    Build real systems, not demo screens

    Software should survive real users, real data, edge cases, and boring production work.

  • 02

    Product clarity before complexity

    A clear problem beats a sophisticated architecture built too early.

  • 03

    Useful AI over AI hype

    AI is valuable when it reduces real friction, not when added as a marketing label.

  • 04

    Data quality beats model magic

    Most AI products fail because the knowledge, structure, and feedback loops are weak.

  • 05

    Distribution is part of the product

    A product is not finished when it is built; it must be understood, trusted, adopted, and used.

  • 06

    Small teams need strong systems

    Good tooling, automation, and architecture help small teams move like bigger ones without becoming slow.

Currently

Building Career Advisor, dev.mn, and NoCap.

Open to product, AI, SaaS, and developer tool conversations. Send a short note. I read every one.

Start a conversationSee the work