Curriculum Vitae
My Curriculum Vitae.
Basics
| Name | Samuele Pasini |
| Label | Deep Learning Engineer |
| samu.pasini98@gmail.com | |
| Phone | (+39) 3494150449 |
| Url | https://pasinisamuele.github.io/ |
| Summary | Deep Learning Engineer and Researcher at USI |
Work
- 2024 - now
- 2024 - now
Researcher and Teaching Assistant
USI - Università della Svizzera Italiana
My research is related to Deep Learning and LLMs, with a specific focus on Adversarial/Poisoning attacks and the usage of LLMs for code generation.
- Deep Learning
- NLP
- LLM
- 2023 - 2024
Computer Vision Engineer
Mindearth
Development of AI-enabled location intelligence solutions using real-life spatial-temporal data for B2B sectors.
- Deep Learning
- Computer Vision
Education
-
2024 - now Lugano
-
2020 - 2022 Milano
-
2017 - 2020 Milano
-
2012 - 2017 Italy
Publications
-
2022.10.26 Weakly Supervised Object Detection for Remote Sensing Images: A Survey
MDPI - Remote Sensing
A survey about the techniques for Weakly Supervised Object Detection in the domain of Remote Sensing
Skills
| Programming Languages | |
| Python | |
| C | |
| C++ | |
| Javascript | |
| Java | |
| Matlab |
| Software Development | |
| Programming Paradigms | |
| GIT | |
| CLI | |
| DBMS | |
| Docker | |
| AWS |
| Frameworks and Libraries | |
| Langchain | |
| Pytorch | |
| Tensorflow | |
| Pandas | |
| Numpy | |
| HuggingFace | |
| FastAPI | |
| GIS | |
| River |
Languages
| Italian | |
| Native speaker |
| English | |
| Fluent |
References
| Prof. Paolo Tonella | |
| Full Professor at USI, supervisor of my PhD |
| Dr. Jinhan Kim | |
| Postdoc at USI, co-supervisor of my PhD |
| Prof. Piero Fraternali | |
| Full Professor at Politecnico di Milano, advisor of my Master Thesis |
Projects
- 2022 - 2022
Learning to Detect Illegal Landfills with Scarce Labeling Data
Graduation Thesis - Usage of Computer Vision for Illegal Landfills Detection
- Deep Learning
- Computer Vision
- Remote Sensing
- 2022 - 2022
A Generative Approach for Facial Expression Data Augmentation
Advanced Deep Learning Conference - Politecnico di Milano
- Deep Learning
- Computer Vision
- GAN
- 2022 - 2022
RGB Image Mosaicing via Multi-Graph Synchronization
Computer Vision Conference - Politecnico di Milano
- Computer Vision
- Image Mosaicing