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Hi, I'm Ante-Florian πŸ‘‹

πŸ‘¨β€πŸ’» About Me

I work in Law Enforcement with a strong focus on digital forensics, cybersecurity, and applied AI.
My expertise spans evidence analysis, infrastructure design, and AI model development, bridging the gap between operational law enforcement work and cutting-edge technology.

I design, build, and investigate across multiple layers:

  • πŸ” Forensic Analysis – Disk, network, and mobile investigations.
  • πŸ›‘ Secure Infrastructure – Proxmox VE clusters, OPNsense firewalls, PKI/CA hierarchies, Windows AD domains, WireGuard VPNs.
  • πŸ€– Artificial Intelligence – Training and fine-tuning LLMs (Qwen, Gemma, custom models), dataset structuring (Alpaca, Harmony), RAG pipelines, forensic LLM assistants.
  • πŸ›  Software Development – Python tooling, Swift/SwiftUI macOS/iOS apps, forensic automation frameworks.
  • 🌐 Network & Systems – VLAN architectures, ZFS-based storage, NGINX reverse proxies, DNS/Unbound, Squid proxies.

πŸš€ Featured Projects

  • 🦈 Shark – macOS digital evidence collection app (Swift/SwiftUI, hashing, signing, encrypted packaging). Exclusively for law enforcement.
  • 🌐 NetDiscovery – Python-based live and forensic network discovery system.
  • πŸ’¬ EuroChat – AI-assisted forensic analysis of large-scale mobile datasets. Exclusively for law enforcement.
  • 🀝 Nuclius – Central AI platform for orchestrating scalable LLM analysis. Exclusively for law enforcement.
  • βš–οΈ AIVI – Specialized LLM for German legal texts to support investigations. Exclusively for law enforcement.
  • 🧠 LLM Server Cluster – Distributed infrastructure for large-scale LLM deployment.
  • πŸ“š LLM Training Pipeline – Dataset preparation, fine-tuning, and GGUF export.
  • πŸ“Š Log Analytics – Visualizations for NGINX/DNS logs (IP/domain correlations, heatmaps, peak analysis).
  • ⚑ BuckIQ – Automotive-grade DC-DC converter with battery protection.

πŸ›  Tech Stack

Languages: Python, Swift, PowerShell, Bash
Forensics: Cellebrite UFED, Magnet Axiom, X-Ways Forensics
AI/ML: PyTorch, vLLM, LoRA fine-tuning, RAG, dataset preparation
Infra & Security: Proxmox VE, OPNsense, TrueNAS, ZFS, WireGuard, NGINX, Unbound DNS, KRITIS-pentests
Electronics & Hardware: LoRa/LoRaWAN, HAM Radio, Raspberry Pi, SDR (RTL-SDR), Hardware Reverse Engineering, KiCad


πŸ”— Connect


β€œEvidence speaks, but only if you know how to make it talk.”

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