About
Karol Karnas - Backend Engineer · Data Analysis · Agentic AI
{
- "Role": "Backend Engineer with a growing focus on data analysis and agentic AI - data pipelines, embedding-based search, and agent loops that hold up in production. I love the moment when a well-built backend quietly powers AI that actually works.",
- "Stack": {
- "Backend": "Python, Django (incl. multi-tenant), FastAPI, Celery, Pandas, pytest",
- "Data & Infra": "PostgreSQL, pgvector, Redis, Docker, AWS, Azure, Linux",
- "AI / LLM": "sentence-transformers, RAG, LLM API Integration, Agentic Pipelines, Vision-Language Models",
- "Observability": "Sentry, Datadog, Grafana, Langfuse, Flower",
- "Frontend": "TypeScript, React, Next.js, Redux"
- "Approach": "I care about clean data flow, predictable async workers, and AI integrations that hold up in production. I wire LLMs, embeddings, and vision models into backend systems - not as demos but as parts of production pipelines that real users and teams depend on.",
- "Background": "I have always loved building and creating - programming feels like an art form. My skill set extends beyond coding: problem-solving, system design, and data analysis with Pandas. I also have experience in creative fields like photography, composition, aesthetics, 2D animation, and UI/UX, which shape how I think about developer experience."
"I love the moment when a well-built backend quietly powers AI that actually works"