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Computer engineering at Unipd
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
UnipdAppunti
February 25, 2026 – Present
Appunti di tutti i corsi di Ingegneria Informatica (triennale) e Computer Engineering (magistrale, AI and Robotics) dell'università di Padova. 2000+ pagine scritte in latex.
View ProjectSnake-RL
November 21, 2025 – Present
Winning at Snake with Reinforcement Learning, using DQN algorithm and 3 CNNs.
View ProjectBrain_Tumor_Classifier
August 20, 2025 – Present
Brain tumor classification from Magnetic Resonance Imaging (MRI) using a pre-trained ResNet18 architecture.
View ProjectGAN_Music_Generator
May 12, 2025 – Present
This repository contains the code, setup instructions, and documentation needed to run a Deep Learning project. It was developed by three Master's students in Computer Engineering, specializing in AI and Robotics, as part of their academic work and practical exploration in the field.
View ProjectObject_Detection_and_Feature_Matching
April 15, 2025 – April 30, 2025
Object detection and Feature Matching project developed by three computer engineering master students.
View ProjectFootball-predictions
December 7, 2024 – December 10, 2024
This project, developed by three university students, aims to predict the outcomes of Premier League matches using Machine Learning algorithms. The code is primarily written in Python using Jupyter Notebooks. The data is obtained through web scraping and saved in CSV files for analysis.
View ProjectACS-MIP
July 11, 2024 – June 29, 2025
Implementation of the Alternating Criteria Search heuristic for Mixed Integer Linear Programming problems.
View ProjectCultural Fit Analysis
The candidate's portfolio is heavily skewed towards academic and personal projects, primarily in AI/ML. This aligns well with a research-oriented or innovative data science culture. The diversity of projects (prediction, classification, generation, reinforcement learning) shows a broad interest within the field. However, the lack of professional experience makes it challenging to fully assess cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a proactive and self-driven individual, engaging in complex technical projects independently and in small teams. The focus on academic projects indicates a strong learning orientation. However, without formal work experience or psychometric test results, it's difficult to assess operational fit, stress handling, or team collaboration skills.