Gabriele.
I’m a freelance data scientist and machine learning engineer.
About Me
I’m a software developer with a passion for machine learning. I have a
background in mathematics, and I have a strong interest in the
intersection of geometry, computer science and artificial intelligence.
Here are a few technologies I've been working with recently:
- C
- Go
- Python
- Polars
- PyTorch
- MLflow
Experience
Worked on developing, training, and evaluating deep learning models
for real-time 3D object detection on LiDAR point clouds.
Education
2017 - 2021
PhD in Mathematics
Queen Mary University of London
Thesis: “Topology, Metrics and Data: Computational Methods and Applications”
Activities:
- Enrichment student at the Alan Turing Institute (2018/2019)
2014 - 2016
Master of Science in Mathematics
University of Turin
Thesis: “Persistent Homology and Neural Data”
Grade: “110/110 cum laude”
Activities:
- Erasmus+ semester at ULB in Bruxelles (2015)
- Internship at IST Austria (2016)
2011 - 2014
Bachelor of Science in Mathematics
University of Turin
Thesis: “The Seifer and Van Kampen Theorem”
Grade: “110/110 cum laude”
Projects
Dotfiles
Python
dotsys
My personal Python package to manage config files and general
system configuration
C++
Python
euchar
Compute Euler Characteristic curves and surfaces of image and point
cloud data.
C++
Python
persty
Python package for the computation of Minibox and Delauany edges on
points clouds with Chebyshev distance.
Python
Polars
TorchData
PyTorch
Kaggle: Digit Recognizer
Python package used to train convolutional neural networks for the
digit recognizer Kaggle competition.
Get in Touch
My inbox is always open. Whether you have a question or just want to
say hi!