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$ whoami

Jahongir Qasimbayev

System Administrator · Cybersecurity Specialist · Python / Go / C++ Developer

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// whoami

About

JQ
Jahongir Qasimbayev

Tashkent, Uzbekistan

Cybersecurity specialist and system administrator with hands-on experience in Linux administration, network security, virtualization, and full-stack software development.

Currently studying Computer/Information Technology Administration at the Academic Lyceum of TUIT and completing the cybersecurity program at School 21 (42 Network). I build and administer complex systems from bare metal, design security-monitoring platforms, and simulate enterprise network environments end to end.

// experience

Lead Developer & System Architect

Server Sentinel (independent project)

2025-01 — present

Security Researcher / Network Engineer

Diploma Thesis — ML-Based Network Intrusion Detection

2024-09 — 2025-05

System Administrator / Lab Engineer

Virtualization & GPU Passthrough Lab

2024-01 —

// education

School 21 (42 Network)2024 — 2026Cybersecurity Program
Academic Lyceum of TUIT2024-08 — 2026-06Diploma — Computer/IT Administration and Management
IT Academy of Farobiy2022-10 — 2023-08Foundation Degree — Information Technology
Al-Khwarizmi Specialized School (Math & Physics)2021-09 — 2024-05Middle School Diploma

// work

Projects

AI-powered security monitoring SaaS: a multi-agent intrusion detection and automated incident response platform for the Uzbekistan/CIS market. Nine microservices in a pnpm monorepo, a safe attack-simulation mode (is_simulated), and a four-tier pricing model — built with graceful degradation as a first-class requirement.

GoPython (FastAPI)TypeScriptReactPostgreSQLRedisWebSockets

Diploma thesis. A multi-segment virtual lab in GNS3 simulating a realistic enterprise network (Debian VMs + Cisco IOS router). Generated labeled datasets via ICMP flood, port-scan and SSH brute-force simulations, then trained and evaluated an ML classifier on the captured traffic.

GNS3PythonScikit-learnDebianCisco IOSWireshark

A Windows 11 VM on Arch Linux with full NVIDIA GPU passthrough via KVM/QEMU. Looking Glass for low-latency framebuffer sharing without a second monitor; careful IOMMU grouping, PCI isolation and device binding for stable passthrough.

Arch LinuxKVM/QEMUNVIDIA GPU PassthroughLooking Glasslibvirt

A fully customised Arch Linux environment built from bare metal: services, permissions, the PipeWire audio stack, Bluetooth, GPU drivers and networking — running both KDE Plasma and Hyprland, with TTY recovery and conflict resolution along the way.

Arch LinuxHyprlandKDE PlasmaPipeWiresystemdpacman/AUR

// skill matrix

Skills

▸ move your cursor through the chamber

  • Languages: Python90%
  • Languages: Go78%
  • Languages: TypeScript85%
  • Languages: C++72%
  • Languages: Bash84%
  • Languages: Swift55%
  • Frameworks: React85%
  • Frameworks: FastAPI80%
  • Frameworks: Node.js82%
  • Frameworks: WebSockets75%
  • Frameworks: REST APIs85%
  • Frameworks: Telegram Bot API80%
  • Security: IDS / IPS80%
  • Security: Vulnerability Assessment75%
  • Security: Penetration Testing72%
  • Security: System Hardening82%
  • Security: Wireshark78%
  • Tooling: KVM / QEMU85%
  • Tooling: GPU Passthrough80%
  • Tooling: GNS378%
  • Tooling: Docker76%
  • Tooling: PostgreSQL80%
  • Tooling: Redis72%
  • Tooling: Git88%
  • Tooling: Cisco IOS65%
  • OS / Systems: Arch Linux92%
  • OS / Systems: Kali Linux80%
  • OS / Systems: Debian82%
  • OS / Systems: Hyprland85%
  • OS / Systems: systemd80%
  • OS / Systems: Windows 1175%

// live

Activity

// live activity

Codeforces

offline

GitHub

offline

LeetCode

offline

AniList

offline

Spotify

offline

// writing

Blog

// reach out

Contact

$ ./contact.sh

// direct channels

no phone or address is published here by design — reach out through a channel above.

built with astro · three · gsap — © 2026 Jahongir Qasimbayev