Building practical AI

Self-taught AI/ML Engineer with a strong engineering background and proven ability to deliver production-ready systems. In 2025, I made a career transition from operations management to software development, driven by passion for AI and building solutions that matter. Within 12 months, I've built and deployed 4 production AI systems serving real users. My engineering degree (Metallurgy, AGH University) provides a strong analytical foundation, while my management experience brings valuable soft skills: communication, team coordination, and problem-solving under pressure. I specialize in RAG systems, LLM applications, and full-stack development with a focus on privacy-respecting, GDPR-compliant AI solutions. My approach: learn by building, ship early, iterate fast. Currently seeking opportunities where I can contribute to meaningful AI/ML projects while continuing to grow as an engineer.

Why Work With Me

I focus on outcomes: reliable systems, measurable impact, and a clean UX that makes the technology feel effortless.

• Product-minded engineering
• Strong communication + clear tradeoffs
• Privacy-first and security-aware

Soft Skills

Ownership

Clarity under ambiguity

Stakeholder communication

Fast iteration

Mentoring

Documentation

Timeline

AI/ML Engineer • Independent Projects

2025 - Present

Remote (Warsaw/Reykjavík) • Portfolio Development

Building production-ready AI systems with focus on RAG, LLM applications, and full-stack development. Rapid learning through intensive project-based approach.

• Built and deployed 4 production AI systems
• 3 live demos: AstraForge, CodeSentinel, and Claude RAG Chatbot
• Enterprise RAG system with local LLM deployment and GDPR compliance
• Full-stack: Next.js, TypeScript, FastAPI, PostgreSQL
• AI/ML: LangChain, ChromaDB, Vector DBs, LLM integration (Claude, Qwen, GPT)

Technical & Operational Roles • Various

2017 - Present

Poland & Iceland • Background

Operations management and technical coordination roles. Developed analytical problem-solving, team coordination, and process optimization skills.

• Analytical problem-solving in complex environments
• Team coordination and cross-functional communication
• Process optimization and efficiency improvement
• Data-driven decision making

Education

Self-Taught Software Development — AI/ML Engineering & Full-Stack Development

2025

Independent Learning

Intensive project-based learning focused on production-ready AI systems. Built 4 complete applications from scratch while mastering modern tech stack.

• Project-based learning approach
• Focus on production-ready, deployable code
• Emphasis on best practices and clean architecture
• Open-source contributions

Bachelor of Engineering — Metallurgy

2014 - 2018

AGH University of Science and Technology • Kraków, Poland

Strong foundation in analytical thinking, materials science, and technical problem-solving. Engineering background provides systematic approach to software development.

• Engineering degree - technical & analytical foundation
• Research-focused thesis work
• Data analysis and scientific methodology
• Technical documentation and reporting

Thesis: Analysis of mechanical properties' distribution of cold drawn steel bars (X6CrNiTi18-10)