Markus Dezelak
AI/ML Engineer • Cybersecurity Professional
Seattle, WA
Summary
AI/ML engineer and cybersecurity professional with 17+ years of operational discipline, blending deep technical expertise with modern applied machine learning. Specialized in building LLM systems, training pipelines, RAG architectures, and AI-driven security tooling. Currently completing M.S. in AI/ML while developing production-grade portfolio projects.
Technical Skills
AI/ML & LLM
Python, PyTorch, HuggingFace, OpenAI API, Claude API, LangChain, Fine-tuning (LoRA), RAG Systems
Infrastructure & Cloud
Docker, FastAPI, Redis, AWS, Hetzner, CI/CD, Vector Databases (FAISS/Chroma)
Cybersecurity
Application Security, Penetration Testing, Red Teaming, Security Automation, AI Security
Development
Go, CLI Tools, Next.js, React, REST APIs, Database Design
Education
M.S. Artificial Intelligence & Machine Learning
Colorado State University • In Progress
B.S. Cybersecurity
Bellevue University
Certificate in Workforce Education
Penn State University
Featured Projects
LLM Fine-Tuning with LoRA
Fine-tuned open-source LLM using LoRA adapters on domain-specific data with comprehensive evaluation pipeline for structure, safety, and factuality.
Production-Grade RAG System
Built retrieval-augmented generation pipeline with advanced chunking strategies, vector search optimization, intelligent routing, and evaluation framework.
AI Security & Red Teaming Toolkit
Security-focused ML toolkit for adversarial testing, prompt injection analysis, jailbreak discovery, and automated security audit workflows.
Areas of Expertise
- ▸LLM solution design, fine-tuning strategies, and safety evaluation patterns
- ▸Cloud-hosted AI systems using Docker, FastAPI, Redis, and vector databases
- ▸Security-minded AI development with AppSec fundamentals and penetration testing workflows
- ▸RAG architecture design, retrieval optimization, and hybrid search implementations