Production-Ready AI
for Healthcare
From medical imaging to computer vision. I turn complex ML challenges into deployed solutions that patients depend on. 410+ citations. Trusted by healthcare innovators.
Problems I Solve
From research papers to hospital-deployed systems
Top Student Personality of Slovakia
National award for research and innovation (2021/2022)
3rd Place - FOMO25 Challenge
Foundation Model Challenge for Brain MRI
PhD Computer Science
Technical University of Kosice
+ Polytechnique Montréal
Cardiac AI & medical robotics
Laboratory & medical devices
Medical imaging diagnostics
Have a challenging AI problem?
Let's discuss your use case in a free strategy call.
Selected Projects
Real-world AI solutions deployed in production
Cardiac Valve Segmentation from 2D Echocardiography
Deep learning algorithms for automatic detection and segmentation of mitral and aortic valves from 2D echocardiographic images. U-Net architecture optimized for low-contrast ultrasound data with high noise levels.
KiTS21 - Kidney Tumor Segmentation Challenge
Participation in the prestigious international KiTS21 challenge for automatic segmentation of kidneys, kidney tumors, and cysts from CT scans. Solution based on 3D residual U-Net architectures with advanced augmentation techniques.
Bioactive Molecule Extraction from Scientific Literature
LLM-based system for automated identification and extraction of bioactive substances and their therapeutic effects from PubMed publications. Advanced NER and relation extraction for mapping molecules to specific diseases.
Enterprise Cloud Infrastructure
Design and implementation of scalable cloud infrastructure for a major telecommunications provider. Containerized microservices architecture with automated deployment pipelines and integration with distributed compute resources.
Research depth.
Engineering pragmatism.
I'm Dr. Matej Gazda, bridging the gap between academic AI research and real-world systems that scale.
My work in medical imaging has been published in IEEE Transactions, deployed in healthcare settings, and cited by researchers worldwide. I specialize in taking complex ML problems from Jupyter notebooks to production infrastructure.
Whether you need a custom vision system, technical advisory, or help deploying AI at scale, I bring both the research rigor and practical know-how.
Custom AI Development
End-to-end ML solutions for your specific problem
Computer Vision Systems
Detection, segmentation, medical imaging
Model Optimization
Making models faster, smaller, deployable
Technical Advisory
Architecture, strategy, team enablement
Selected Research
Peer-reviewed publications in top venues
Multiple-Fine-Tuned CNNs for Parkinson's Disease Diagnosis From Offline Handwriting
IEEE Trans. on Systems, Man, and Cybernetics
Self-Supervised Deep CNN for Chest X-Ray Classification
IEEE Access
CNN Ensemble for Parkinson's Disease Detection from Voice Recordings
Computers in Biology and Medicine
End-To-End Deformable Attention Graph Neural Network for Liver Mesh Reconstruction
IEEE ISBI
Generative Adversarial Networks in Ultrasound Imaging: Extending Field of View
Medical Imaging
Let's create
something great
Have a challenging AI problem? I'd love to hear about it. Drop me a message and let's explore what's possible.