I am a Master’s student in Computer Intelligent Systems at the University of Verona, currently conducting my thesis at EPFL in Lausanne.
My interests are in:
- Machine Learning
- Computer Vision
- Scientific Python
- Time-Series Analysis
- Data-Intensive Research Engineering
My thesis work at EPFL involves quantitative analysis of large multichannel 3D time-resolved light-sheet microscopy data, with a focus on tracking-related methods, imaging workflows, and usable scientific software.
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Predictive Maintenance with NASA C-MAPSS
End-to-end time-series pipeline comparing ML and deep learning models including LSTM, GRU, and Transformer. -
YOLOv8 Object Detection on OpenImages
Reproducible object detection workflow including data preparation, training, evaluation, and inference. -
Real-Time Anomaly Detection Dashboard
Streamlit dashboard for real-time anomaly visualization and live evaluation using NAB data.
Python, PyTorch, TensorFlow, OpenCV, scikit-learn, Streamlit, Pandas, NumPy, Git
Machine Learning, Computer Vision, Research Engineer, Scientific Software, and Applied AI roles in Switzerland.
- LinkedIn: https://www.linkedin.com/in/aunali-ml-cv/
- GitHub: https://github.com/aun151214