I’m Anna Chernenko, an AI & Machine Learning student at JKU Linz with hands-on deep learning experience in medical imaging. I’ve been building and evaluating models end-to-end—from raw data pipelines and preprocessing to training, validation, and performance analysis—mainly in Python using PyTorch and TensorFlow. At B2 Foundation, I’m currently working on an on-device iOS mammography screening classifier (“Second Look”), including preprocessing, class-imbalanced evaluation, and experiments with modern CNN backbones. I enjoy tackling applied computer vision challenges with rigorous experimentation, reproducible training workflows, and clear communication through reports and presentations.

Anna Chernenko

I’m Anna Chernenko, an AI & Machine Learning student at JKU Linz with hands-on deep learning experience in medical imaging. I’ve been building and evaluating models end-to-end—from raw data pipelines and preprocessing to training, validation, and performance analysis—mainly in Python using PyTorch and TensorFlow. At B2 Foundation, I’m currently working on an on-device iOS mammography screening classifier (“Second Look”), including preprocessing, class-imbalanced evaluation, and experiments with modern CNN backbones. I enjoy tackling applied computer vision challenges with rigorous experimentation, reproducible training workflows, and clear communication through reports and presentations.

Available to hire

I’m Anna Chernenko, an AI & Machine Learning student at JKU Linz with hands-on deep learning experience in medical imaging. I’ve been building and evaluating models end-to-end—from raw data pipelines and preprocessing to training, validation, and performance analysis—mainly in Python using PyTorch and TensorFlow.

At B2 Foundation, I’m currently working on an on-device iOS mammography screening classifier (“Second Look”), including preprocessing, class-imbalanced evaluation, and experiments with modern CNN backbones. I enjoy tackling applied computer vision challenges with rigorous experimentation, reproducible training workflows, and clear communication through reports and presentations.

See more

Language

Ukrainian
Fluent
Russian
Fluent
English
Advanced
German
Advanced

Work Experience

Machine Learning Engineer at B2 Foundation
April 1, 2026 - Present
Developing an on-device iOS mammography screening classifier (“Second Look”) in collaboration with a Boston University professor. Work includes building data preprocessing pipelines (contrast enhancement, breast masking, pectoral muscle removal) across a 2TB mammography corpus, migrating training to Google Cloud Vertex AI for reproducible GPU runs, and running model training and evaluation under severe class imbalance. Includes evaluating performance against a clinical sensitivity floor (achieved 0.83 AUROC at 82% sensitivity and 73% specificity) and comparing architectures (MobileNetV2, EfficientNetB0) and training approaches (focal loss and triplet learning).

Education

BSc Artificial Intelligence at Johannes Kepler University Linz, Austria
March 1, 2025 - January 1, 2028
BSc Software Engineering at Luhansk Taras Shevchenko National University, Ukraine
November 1, 2024 - July 31, 2025
Digital Leader Program (Big Data, Game Dev, FinTech) at Luxembourg Tech School
September 1, 2022 - June 30, 2023

Qualifications

Add your qualifications or awards here.

Industry Experience

Healthcare, Education, Professional Services, Computers & Electronics, Non-Profit Organization