cv
Basics
| Name | Andrea Moschetto |
| Label | Software Engineer and Data Science student |
| andreamoschetto99@gmail.com | |
| Phone | (+39)3885844948 |
| Url | http://andreamoschetto.github.io |
| Summary | Passionate software engineer with a focus on scalable systems, distributed architectures, and AI. Currently expanding my expertise in deep learning and computer vision through academic research and hands-on experimentation. |
Work
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2024.10 - Present Computer Science Tutor
University of Catania
Tutoring activities for the course "Fondamenti di Informatica"
- Computational models
- Formal languages
- Functional programming
- Logic
-
2023.01 - 2023.09 Software Engineer and Developer
Herakel
Proficient in Python programming for developing efficient and optimized software solutions
- Distributed Systems
- Microservices
- Event Streaming
- Integration and Unit Testing
Education
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2018.09 - 2024.03 Sicily, Italy
Awards
- 2018/19 . 2020/21
Publications
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2024.05.29 The Great Textual Hoax: Boosting Sampled String Matching with Fake Samples
Schloss Dagstuhl -- Leibniz-Zentrum für Informatik
It concerned an algorithm for the sampled string matching problem, which is a well-known problem in computer science. The algorithm is based on the idea of using fake samples to boost the performance of the algorithm.
Skills
| AI & Data Science | |
| PyTorch | |
| Lightning | |
| TensorFlow | |
| scikit-learn | |
| Pandas | |
| NumPy | |
| Matplotlib | |
| Seaborn | |
| OpenCV | |
| Spark |
| WebDev | |
| Laravel | |
| Express | |
| Node.js | |
| HTML | |
| CSS | |
| SQL | |
| Apache |
| Languages | |
| C | |
| C++ | |
| C# | |
| Java | |
| JavaScript | |
| TypeScript | |
| Python | |
| PHP |
| DevOps | |
| Docker | |
| Kafka | |
| Kubernetes |
| Dev Tools | |
| Visual Studio Code | |
| Git |
Languages
| Italian | |
| Native speaker |
| English | |
| Fluent |
Interests
| Communication | |
| Public Speaking | |
| Empathy | |
| Active Listening | |
| Engagement | |
| Effective Presentation | |
| Body Language |
| Data Science | |
| Statistical Learning | |
| Neural Networks | |
| Deep Learning |
| Visual AI | |
| Computer Vision | |
| Video Understanding | |
| Representation Learning | |
| Generative Models | |
| Image Processing |
| Software Engineering | |
| Design Patterns | |
| Refactoring Strategies | |
| Distributed Systems |
| Algorithms | |
| String Matching | |
| Data Structures | |
| Computational Complexity | |
| Code Optimization |
| Logic and Mathematics | |
| Formalization | |
| Functional programming | |
| Computational models | |
| Formal languages |
| Game Development | |
| Unity3D | |
| Godot |