KHUSLEN GANBAT · V01d_404

I build the systems people trust when the prototype becomes real.

Co-founder & CTO at ZEVQORA. I work across AI infrastructure, backend systems, defensive security, and developer tooling — turning rough technical ideas into systems that can be tested, explained, and shipped.

Building ZEVQORA · Mongolia AI systems / backend / security
01observe
02reason
03verify
quiet signal / system map
00 / ORIENTATION

Most projects begin as a messy idea.

I like the part where it becomes a system.

I care about architecture, APIs, reliability, security, evaluation, testing, and debugging — but mostly about whether a system can explain what it is doing and why.

The work is strongest when the clever part is invisible: fewer surprises, clearer boundaries, better evidence, and a product people can actually use.

Current chapter Co-founder & CTO

ZEVQORA

Make AI lighter.

ZEVQORA is an autonomous optimization engineer for AI applications. It finds expensive or unnecessary AI execution, proposes cheaper execution strategies, verifies the change through tests, replay, and quality evidence, then prepares reviewable code changes. Human review stays mandatory.

Visit ZEVQORA ↗
ObserveUnderstandOptimizeVerifyPatch
01 / SELECTED WORK

Systems, not screenshots.

A small archive of projects that show how I think across AI, backend, security, forensics, and interactive software.

01
AI infrastructureFounder build

ZEVQORA

An autonomous optimization engineer for AI applications: find expensive AI work, propose a cheaper execution path, verify it with evidence, and prepare the change for review.

AI systemsOptimizationVerificationDeveloper tooling
Open project ↗
02
Forensics workspaceBrowser-local

CTF Replay Lab

A browser-based CTF analysis workspace for inspecting artifacts, decoding suspicious data, saving evidence, replaying an investigation, and verifying flags — without uploading files or executing binaries.

ForensicsLocal-firstSHA-256Decoders
03
Defensive securityFastAPI

DevGuard AI

A defensive code security reviewer that flags risky patterns such as hardcoded secrets, unsafe shell execution, SQL-injection-style construction, weak hashes, and debug configuration, then produces readable findings and safer recommendations.

PythonFastAPIStatic analysisReports
04
URL analysisDefensive only

AegisLink

A static URL risk analysis API that checks signals such as HTTPS, suspicious keywords, long URLs, IP-based domains, suspicious TLDs, shorteners, and brand-impersonation hints, then explains the risk clearly.

PythonRisk scoringFastAPISecurity API
Open repository ↗
05
Game engineeringPygame

Runner Void

A Python/Pygame survival runner focused on movement, collision detection, scoring, gameplay loops, and interactive system design.

Open repository ↗
06
Team buildAssistive technology

Aura Guide

A NOtFound_404 team concept exploring obstacle detection, Bluetooth communication, mobile interaction, and Mongolian voice warnings for visually impaired users.

Open project ↗
02 / OPERATING PRINCIPLES

How I think when I build.

The principles are simple. Keeping them true in real systems is the hard part.

01

Understand before optimizing.

A faster wrong answer is still wrong. Measure the system first, then decide what should change.

02

Make the system explain itself.

Logs, boundaries, reports, and clear state transitions are part of the product — not cleanup work for later.

03

Security belongs in architecture.

Defensive thinking works best when it shapes the design early, instead of being added after the system is already fragile.

04

Ship proof, then improve.

Build the smallest version that proves the idea, test the weak parts, document what changed, and keep moving.

03 / CAPABILITIES
AI & backend

Python · FastAPI · APIs · Pydantic · SQLite / SQLAlchemy · structured AI workflows

Security & investigation

Defensive security · static analysis · CTF / forensics · risk scoring · Linux · networking & crypto basics

Engineering foundations

C++ · Python · JavaScript · Git / GitHub · debugging · testing · algorithms & data structures

Product building

Prototyping · architecture · documentation · deployment · technical storytelling

04 / TRAJECTORY

A technical identity still in motion.

No fake finish line. Just a clearer direction with every project.

01
Foundation

C++ / Python / algorithms

Learning to think through code, debugging, and small systems.

02
Security practice

CTF / forensics / defensive tooling

Understanding evidence, risk, and the discipline of authorized security work.

03
Backend systems

FastAPI / databases / service design

Moving from scripts into structured APIs, stored state, reports, and cleaner architecture.

04
Product building

Tools people can actually use

Connecting the technical core to usable interfaces, documentation, deployment, and iteration.

05
Now

Co-founder & CTO at ZEVQORA

Building the technical foundation for an AI optimization product with verification and human review at the center.

05 / CONTACT

If the problem is difficult enough to be interesting, I want to hear about it.

AI systems, backend engineering, defensive security, developer tooling, and ambitious technical collaborations.