Andrii Diakun

I design, research, and build AI systems — from neural network architectures and multilingual language models to retrieval-augmented generation and agentic software. Since 2021, my work has evolved from rule-based approaches and early neural architectures to custom attention layers, EVA-I, a multilingual language model developed with PyTorch, and production AI systems deployed in real business environments. As the founder and lead developer of Revelint, I work across the full AI development lifecycle: model architecture, data pipelines, retrieval systems, application engineering, deployment, and product development. Research interests Multilingual language models and neural architectures LLM pretraining data curation, deduplication, and evaluation Retrieval-augmented generation and knowledge-grounded AI Agentic systems and AI-assisted software engineering Resource-efficient AI and adaptive learning technologies My approach combines hands-on experimentation with production engineering. I am particularly interested in making AI systems measurable, reproducible, and useful beyond controlled demonstrations. I am open to research collaborations, applied AI R&D opportunities, and research-oriented positions in Austria and across the EU, especially in multilingual NLP, applied machine learning, and AI for education. Founder & Lead Developer — Revelint GitHub: github.com/AndriiDiakun