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andrea.rossolini2@studio.unibo.it
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aiops-bias-mitigation-pipeline
January 7, 2026 – Present
Automating bias mitigation as part of AIOps. Use What-If or AI Fairness 360 in the pipeline on a given dataset
View Project2d_skeleton_extractor-ntu_dataset
May 17, 2022 – May 25, 2022
2d_skeleton_extractor-ntu_dataset — GitHub repository
View ProjectMCTS_SARSA_Q-Learning
February 6, 2021 – February 7, 2021
Python notebook divided into two sections: The first section shows the MTCS algorithm applied to a binary tree. Then it expands the study to an MTCS variant. The second section studies firstly the MonteCarlo algorithm for policy evaluation. Secondly, the implementation of a learning agent in a gridworld and then it analyzes the performance of SARSA and Q-Learning algorithms.
View ProjectUnibopoli-OOP
October 14, 2020 – October 27, 2020
A revisited version of the famous game "Monopoly" in a university Key. The project has been realized with the aim of using design patterns for object oriented programming.
View ProjectEvolutionary_MegaMan
October 14, 2020 – October 14, 2020
Test of different evolutionary algorithms over the game framework 'Evoman' evolving the weights of a Neural Network that determine the behavior of the player. To carrying out the project I used EA framework DEAP in which all the useful methods necessary for the complete realization of the researches are developed.
View ProjectECommerce_project
October 11, 2020 – October 11, 2020
Creation of a website where you can register (as a customer or restaurant/fast food), choose and order food, from a supplier, at a given destination at a given time.
View ProjectDB_Project
October 11, 2020 – October 11, 2020
A database for a professional firm that allows a report on all the activities carried out by the firm towards clients, highlighting the type of activity, the time needed to carry out the service in all its phases, then from the start to the end of the service and, finally, its valorization both on the basis of the time spent by professionals, collaborators and employees and on the basis of the rates applicable to the type of professional service or services.
View ProjectSmart_Green_House
October 11, 2020 – February 8, 2021
Create an embedded system that represents a simplified version of a smart greenhouse. The task of the smart greenhouse is the automated irrigation (of a certain soil or plant) by implementing a strategy that takes into account the perceived humidity, with the possibility to control and intervene manually via mobile app.
View ProjectMulticriteriaShortestPathsProblem
April 6, 2020 – October 16, 2020
In this paper a pathfinding problem is analyzed starting from a classical shortest path problem and then, after several optimization, going to resolve a graph that utilizes two static weights on its arcs, considering the most full satisfying set of solutions.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and exploration across various technical domains, including AI/ML, web development, and embedded systems. This indicates a curious and self-motivated individual. The diversity of projects suggests adaptability and a willingness to tackle different challenges, which can be a positive cultural fit for dynamic environments. However, all projects are listed as 'personal', so there's no insight into team collaboration or professional project experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise but do not provide insight into collaboration, problem-solving approaches, or communication style in a team setting.