Branislav Hesko
Senior Machine Learning Engineer
Specializing in Computer Vision and 3D Analysis
About Me
Senior Machine Learning Engineer at Tescan Orsay Holding and freelancer, specializing in computer vision and 3D analysis. Passionate about analyzing scanning transmission electron microscopy and medical data.
(+420) 778 788 954
Professional Experience
Senior Machine Learning Engineer
Tescan Group a.s. 2022 - Present- Various ML projects in the field of transmission electron microscopy
- Image registration for navigation, measurement and calibrations
- Large image stitching
- Ronchigram correction and evaluation
- Diffraction pattern analysis (classification, segmentation, object detection)
- Automatic sample navigation, nanoparticle detection and material evaluation
- MLOps - serving machine learning models and handling their lifecycle
- Model optimization for large scale inference on a single GPU
Machine Learning Engineer - Freelancer
Aireen a.s., Indusight, s.r.o., DNAI.ai, Scannera s.r.o. 2021 - Present- Automatic diagnostics from retinal fundus images
- MLOps on Azure managing lifecycle of disease grading model
- Manufactured product tracking on a conveyor belt
- Model deployment for industrial applications
- Model optimizations for CPU/GPU inference
- Facade segmentation for augmented reality applications
- Keypoint detection in 3D pointclouds
- Framework for object detection for security and surveillance applications
Research Specialist
Konica Minolta Business Solutions Czech Republic 2020 - 2022- End to end text detection and recognition
- Deep learning based visual quality inspection
- Machine learning studio backend, deployment + modeling development
- MLOps - serving machine learning models and handling their lifecycle
Education
Master of Science in Plasma Physics
Masaryk University, Brno 2016-2018"Analysis and processing of images for plasma diagnostics"
Passed with honorsMaster of Engineering in Biomedical Engineering
Brno University of Technology 2013-2015"Active contour methods for ultrasound image segmentation"
Passed with honorsSkills & Expertise
Core Expertise
- Deep Learning
- Computer Vision
- MLOps
- Data Analysis
- 3D Analysis
- Electron Microscopy
Programming & Tools
- Python
- Rust
- C++
- Linux
- Docker
- Git
ML Frameworks & Libraries
- PyTorch
- TorchServe
- Nvidia Triton
- OpenCV
- FastAPI
- MLflow
- Streamlit
Languages & Soft Skills
- English (C1)
- French (C1)
- Team Leadership
- Project Management
- Problem Solving
- Technical Communication
Awards & Achievements
2019
PALM Challenge
2nd place in optic disc segmentation challenge
March 25, 2019
2018
EEICT Conference
1st place in student conference
2016
EEICT Conference
3rd place in student conference
2015
Dean's Award
Master's thesis award, Faculty of Electrical Engineering and Communication
Red Diploma