Hi! I am Anastasiia, a recent graduate (2025) of IT & Business Analytics program at Ukrainian Catholic University 📚
Currently, I work as a Research Engineer at CERN, contributing in particular to the Next Generation Trigger project . My work focuses on hardware-aware machine learning ⚛️, with an emphasis on model compression techniques such pruning, quantization, and hyperparameter optimization for models deployed under strict latency, memory, and precision constraints (FPGAs, GPUs, real-time pipelines). I’m one of the core contributors to PQuantML, an open framework for reproducible compression-aware training and optimization.
Additionally, I am a Research Assistant at the Computational Neuroscience Lab at University of Toronto 🧠 under the supervision of Dr. Brokoslaw Laschowski, where I work on Representational alignment of predictive coding networks using topological regularization.
My main interests lie at the intersection of machine learning, biomedical research and real-world deployment.
- Programming: Python, Java, R, Bash/Shell
- Machine Learning: PyTorch, Tensorflow, Scikit-learn, Keras
- Data Processing: Pandas, NumPy, Apache Spark
- Full Stack Development: RESTful API, Django, Flask
- Databases: SQL/NoSQL
- Deployment: AWS, Docker, Kubeflow, Kubernetes, Git
- Data Visualisation: Matplotlib and Seaborn
You can connect with me on LinkedIn or directly via email 📧: