About

I hold a PhD in Computer Science from Eötvös Loránd University, defended summa cum laude in 2026 with a thesis on Affective Behavior and Social Interaction Analysis. I work at the point where research meets production: designing multimodal deep learning systems, then taking them through optimization, packaging, and deployment until someone else can install and run them. That path has produced nine libraries on PyPI and live demos and application showcases, alongside peer-reviewed publications.

My research spans machine learning, computer vision, affective behavior, and social interaction analysis, covering both basic research (AHFS paper) and applied research (ASD paper). I am deeply committed to advancing human-centered AI and bringing practical, real-world impact through my work. My publications appear in top journals such as Pattern Recognition (Q1 ranked) and Cognitive Computation (Q1 ranked), and I have presented at major conferences like the IEEE International Joint Conference on Neural Networks (IJCNN, CORE A ranked).

I have spoken for the John von Neumann Computer Society (NJSZT) and the XVIII Hungarian Congress of Neuropsychopharmacology (MPPT), among other workshops (HumanE-AI-Net) and forums (Hungarian Academy of Sciences). Additionally, I have given presentations at institutions such as K&H Bank about Generative AI and Large Language Models, and at Comenius University in Bratislava, University of Szeged, University of Debrecen, University of Pannonia, and Pázmány Péter Catholic University about my PhD research. I also collaborate with partners from the ELTE Faculty of Education and Psychology, helping drive interdisciplinary projects.

At Eötvös Loránd University (ELTE), I am passionate about teaching and mentoring, lecturing on advanced neural networks, mathematics, and AI development. I have supervised both BSc and MSc students, and have also prepared students for the Students’ Scientific Conference.

Beyond research and academia, I actively develop and maintain open-source projects on GitHub and continuously sharpen my skills through online courses offered by MIT, Stanford, and Coursera.

If you’re looking for a motivated and curious professional who excels independently and as a team player, values practical impact, and is ready to proactively contribute, I would love to connect.

Skills

Modeling & research

PyTorch PyTorch Lightning Transformers architecture Multimodal fusion Multi-task learning Distributed training (DDP, multi-GPU) Linear-complexity attention Computer vision Speech & audio (WavLM, Whisper) Vision-language (CLIP, DINOv2) NLP (BERT, RoBERTa) scikit-learn

GenAI & Agentic AI

LangChain LangGraph Agentic workflows Agentic RAG Local LLMs (Ollama) Structured output (Pydantic) LLM evaluation & fact-checking Prompt engineering

ML systems & optimization

ONNX Runtime Model quantization & optimization Pruning Inference optimization Numerical-parity checks

MLOps & deployment

MLflow (tracking + registry) Weights & Biases Optuna Docker Apptainer Google Cloud Run FastAPI Gradio Hugging Face Hub & Spaces GitHub Actions CI/CD Codecov

Data & infrastructure

NumPy pandas SQL & SQLAlchemy Dataset unification & balancing Feature engineering Reproducible data pipelines HDF5 Hugging Face Datasets torchcodec / video decoding Linux Bash Git

Engineering practice

Python SDLC DevOps Test-driven development unittest & pytest ruff Type checking (ty) Sphinx docs uv Make Semantic versioning Statistical hypothesis testing Experimental design Bootstrap confidence intervals Multiple-comparison correction Ablation studies Code review Technical writing

Education

YearsDegreeInstitution
2019–2026 PhD in Computer Science — summa cum laude
Affective Behavior and Social Interaction Analysis
Eötvös Loránd University (ELTE)
2016–2018 MSc in Computer Science — excellent
Speech de-identification with deep neural networks
Eötvös Loránd University (ELTE)
2012–2016 BSc in Computer Science — excellent
User interface design and implementation for data mining algorithms in MATLAB
Eötvös Loránd University (ELTE)

Publications

Year Citation Link

Coursera

Badges

Certificates

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