I am an AI/ML engineer with hands-on experience across the full build cycle, including research, training, deployment, and monitoring.
My background spans autonomous agent systems, RAG pipelines, computer vision, reinforcement learning, and enterprise automation. I also build production cybersecurity systems in Rust and work on multi-agent cognitive architectures grounded in Active Inference.
I have shipped production AI products for sales automation, consulting, and document-grounded assistants across multiple markets. I am comfortable working end to end, from data preparation and experimentation to backend integration, observability, and deployment.
My technical stack includes Python, SQL, TypeScript/Node.js, Rust, PyTorch, TensorFlow, FastAPI, Docker, MLflow, PostgreSQL, Redis, and vector databases. I also use tools and frameworks for LLM agents, workflow automation, and real-time computer vision.
I am especially interested in autonomous systems, self-improving AI architectures, and practical machine learning systems that can operate reliably in production. I enjoy turning research ideas into working software with measurable outcomes.
I am open to remote opportunities in the EU, US, and UAE, and I am looking for roles where I can contribute to advanced AI engineering, applied research, and production-grade ML systems.