Research Assistant
@ Technical University of Cartagena & EU Life Project
March 2022 — Present
Reducing the impact of underwater noise on the marine environment of the Port of Cartagena.
Project details[visitor]
0:portfolio*
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oleksandr@terminal
────────────────
Name: Oleksandr Kovalyk Borodyak
Role: Telematics Engineer
Focus: Machine learning, image processing & data systems
OS: Linux
Editor: Neovim
Languages: Python, SQL
Resume: cv.pdf
visitor@terminal:~$ ls -la /about
PROFILE
I am passionate about technology and innovation. I am responsible, adaptable, and quick to learn, and I enjoy working in a team and contributing new ideas. I take initiative and look for new challenges and opportunities to grow professionally. I love tinkering with technology beyond my field of study. In my free time, I enjoy sports, especially weightlifting.
CORE_STACK
- > Programming: Python, SQL
- > Development: XGBoost, Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, Keras, TensorFlow, PyTorch
- > Tools: Git, GitHub, PostgreSQL, MinIO, MLflow, Neovim
- > Other: Docker, Kubernetes, Linux, Proxmox, LaTeX
INTERESTS
Technology & InnovationMachine LearningHome LabsWeightlifting
visitor@terminal:~/work
$ cat experience.md
Research Assistant
@ Technical University of Cartagena & MTorres
February 2022 — May 2023
Detection of carbon fiber wrapping failures using images from a profilometer.
Research Assistant
@ Technical University of Cartagena & Hospital General Universitario Reina Sofía
December 2019 — December 2020
Automatic extraction of optic nerve features from both eyes using image processing and statistical pattern recognition for integration in a telemedicine computer-aided diagnosis (CAD) application.
Partially funded by Spanish national projects AES2017-PI17/00771 and AES2017-PI17/00821 (Instituto de Salud Carlos III), and regional project 20901/PI/18 (Fundación Séneca).
visitor@terminal:~/projects
$ ./view_portfolio.sh
Software Development
Underwater noise monitoring in the Port of Cartagena
Technical University of Cartagena & EU Life Project
March 2022 — Present
A microservices-based system that captures data from two hydrophones and an AIS system, stores it in a database, processes noise levels and associates them with AIS data, and exposes the results through a REST API. Deployment uses Docker Compose.
Python, Docker, Docker Compose, MinIO, PostgreSQL
Project detailsMachine Learning
Carbon fiber wrapping failure detection
Technical University of Cartagena & MTorres
February 2022 — May 2023
A model and pipeline to detect carbon fiber wrapping failures in profilometer images, covering data analysis and preprocessing, metric selection, RetinaNet training, hyperparameter tuning, and final evaluation.
Python, Keras, TensorFlow, RetinaNet
Machine Learning
Binocular optic nerve feature extraction
Technical University of Cartagena & Hospital General Universitario Reina Sofía
December 2019 — December 2020
Curated a hospital dataset and developed a deep-learning application that uses two ocular fundus images for glaucoma diagnosis, as part of a telemedicine CAD project for automatic optic nerve feature extraction.
Python, Keras, TensorFlow
Personal Project
Kubernetes cluster on Proxmox
Personal
Built a Kubernetes cluster on Proxmox with virtual machines managed through Ansible to replicate real-world machine-learning model deployment. The cluster also serves as a playground for learning Kafka, Spark, Delta Lake, and other technologies.
Ansible, Kubernetes, Proxmox, Docker
visitor@terminal:~/education
$ cat degrees.md
Master’s Degree in Telematics Engineering
Technical University of Cartagena
2021
Bachelor’s Degree in Telematics Engineering
Technical University of Cartagena
2020
visitor@terminal:~/research
$ cat publications.bib
Decision trees for glaucoma screening based on the asymmetry of the retinal nerve fiber layer in optical coherence tomography
MDPI · June 2022
Rafael Berenguer-Vidal; Rafael Verdú-Monedero; Juan Morales-Sánchez; Inmaculada Sellés-Navarro; Oleksandr Kovalyk; José-Luis Sancho-Gómez
DOI: 10.3390/s22134842Improving glaucoma diagnosis assembling deep networks and voting schemes
MDPI · June 2022
Adrian Sánchez-Morales; Juan Morales-Sánchez; Oleksandr Kovalyk; Rafael Verdú-Monedero; José-Luis Sancho-Gómez
DOI: 10.3390/diagnostics12061382PAPILA: Dataset with fundus images and clinical data of both eyes of the same patient for glaucoma assessment
Nature · June 2022
Oleksandr Kovalyk; Juan Morales-Sánchez; Rafael Verdú-Monedero; Inmaculada Sellés-Navarro; Ana Palazón-Cabanes; José-Luis Sancho-Gómez
DOI: 10.1038/s41597-022-01388-1visitor@terminal:~/research
$ cat conferences.md
International
Analysis of the asymmetry in RNFL thickness using Spectralis OCT measurements in healthy and glaucoma patients
9th International Work-Conference on the Interplay Between Natural and Artificial Computation
Puerto de la Cruz, Tenerife, Spain · May 31 — June 3, 2022
Rafael Berenguer-Vidal; Rafael Verdú-Monedero; Juan Morales-Sánchez; Inmaculada Sellés-Navarro; Oleksandr Kovalyk
Springer · DOI: 10.1007/978-3-031-06242-1_50National
Automatic Instance Segmentation Applied to Retinography for Optic Disc and Cup Segmentation
XXXVIII Annual Congress of the Spanish Society of Biomedical Engineering
Valladolid, Castilla y León, Spain · November 25–27, 2020
Organizer: University of Valladolid
Oleksandr Kovalyk; Juan Morales-Sánchez; Rafael Verdú-Monedero; Inmaculada Sellés-Navarro
National
Application of MobileNet for early diagnosis of glaucoma: a binocular approach
XLI Annual Congress of the Spanish Society of Biomedical Engineering
Cartagena, Murcia, Spain · November 22–24, 2023
Organizer: Technical University of Cartagena
Oleksandr Kovalyk; Juan Morales-Sánchez; Rafael Verdú-Monedero; Inmaculada Sellés-Navarro; José-Luis Sancho-Gómez