Nicola Calzone
Software Engineer,
AI, Deep Learning and Robotics
AI, Deep Learning and Robotics
Curriculum Vitae:
Summary
Educational Background
Graduated in Computer Engineering, currently completing a Master's Degree in AI and Robotics.
Passion and Expertise
Enthusiast of languages and technology with a profound passion for Natural Language Processing and Deep Learning.
Skills
Skilled in data analysis, machine learning, and programming, with hands-on experience in solving complex problems both independently or part of a team.
Soft Skills:
Problem Solving
I enjoy the creative process of looking for innovative solutions and pushing boundaries by exploring new challenges.
Public Speaking
I have years of experience as a theater actor and presenting at public events.
Critical Thinking
Committed to continuous learning through reading and staying informed across diverse topics.
Adaptability
I have a strong ability to adapt to any kind of contexts and identify the positive aspects in all situations.
Research and Projects
Focusing on the generative capabilities of transformer models for Machine Translation. Enhancing translation efficiency by training transformers on synthetic languages and investigating whether transformers can learn Synchronous Context-Free Grammars (SCFGs) and other formal languages within Chomsky's hierarchy.
Natural Language Processing
- NLP fine-tuned Bert Model to produce correct Dependency Trees for Russian language.
- Bachelor Thesis: experimental project on NLP techniques for bug detection in software systems.
Computer Vision & Robotics
Network Analysis
Other Projects
- P2P messaging apps, half-duplex and full-duplex chatrooms.
- Android apps: simple games and a geolocalization of a device w/o using Google APIs
Certificates
Language Certificates
- C1 Spanish OLS Erasmus+ (June 2020)
- Cambridge English FIRST (June 2016)
European Informatics Passport (March 2019)
- ICT Fundamentals
- Cybersecurity
- Searching for information on the web
- Word processing
- Spreadsheets
- Communicating online
- Presentation
My Favorite Books
In my field:
The NLTK library book! This was my first in NLP, and I read it while working on my Bachelor's thesis. It is nowadays very outdated but I still managed to use it and have recently made extensions of its python library for generation of complex synchronous formal languages.
Gave me useful insights on power and the limitations behind ML.
The "art of rebuilding models from zero" is a way too much undervalued skill in a time of ready-made libraries.
It does not touch transformers, but I really liked the step-by-step "re-building" of increasingly sophisticated models, without the use of PyTorch.
This is the book that I used for the Deep Learning course at Univerzita Karlova in Prague and
I enjoyed it a lot.
I enjoyed it a lot.
…and as for novels:
Notes from the underground
- F. Dostoevsky
- F. Dostoevsky
Master and Margarita
- M. Bulgakov
- M. Bulgakov
Nausea
- J.P. Sartre
- J.P. Sartre
Siddharta
- H. Hesse
- H. Hesse