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kekz

I automate infrastructure and build AI tools: LLM inference on a single RTX 5090, agents with Claude Code, and the Proxmox and Docker stack they run on.

Stack

AI
LLM inference, CUDA, C++, AI agents, Claude Code, Cline, ChatGPT
Automation
Ansible, CI/CD, Docker, Git, Bash, PowerShell
Virtualization
Proxmox, VMware vSphere, HA clustering, Dell PowerEdge, NetApp, Backup
Microsoft
Entra ID, Intune, Active Directory, Exchange, SCCM, SQL Server, SharePoint
Linux services
nginx, Postfix, PostgreSQL, MySQL, NFS, Samba
Network and security
Firewalls, VLAN, WLAN, Fiber networks, Vulnerability analysis, Penetration testing

Projects

Public repositories on GitHub, most recently pushed first.

imp

LLM server for NVIDIA Blackwell only (GeForce RTX 50, RTX PRO). On one RTX 5090, Qwen3.8-27B one user: 96.3 tok/s, 1.38x vLLM without speculative decoding, 1.23x llama.cpp on the same GGUF. Serves the 123.6 GiB Qwen3.8-Flash-Next from a 32 GB card at 92.1 tok/s. OpenAI and Anthropic API, tool calls, one docker run.

Language
C++
Stars
124
Last push
Updated