class SoftwareEngineer(Human):
def __init__(self, name, expertise, hobbies, coding_skills):
super(SoftwareEngineer, self).__init__(name, expertise, hobbies)
assert isinstance(coding_skills, list) and len(coding_skills) > 0
self.coding_skills = coding_skills
def react_to_non_working_code(self):
print("Strange, it works on my machine!")
myself = SoftwareEngineer(
name="Nicola",
expertise=[
"Machine learning",
"Reinforcement learning"
"Data science",
"DevOps, MLOps, CI/CD, agile",
],
hobbies=[
"Table tennis",
"Diabolo juggling",
"Reading",
"Beach volley",
],
coding_skills=[
"Python",
"C#",
"HTML, CSS, JS",
"C++",
"SQL",
]
)Here you can find a list of some of the projects I have worked on (the ones that I could publish on Github).
| Year | Repo | About |
|---|---|---|
| 2023 | Scrapsters | Mobile app to reward for sustainable shopping. Winner of the Migros challenge at Hackzurich 2023. |
| 2023 | PizzaVsCats | You have five cards in your hand; each one could represent anything. Which one is the best!? |
| 2022 | NoClip | An experimental game in which you "noclip" the environment to solve puzzles. |
| 2022 | Review tracker | Django project to scrape online reviews and show the average evolution over time. |
| 2020 | Riocontra translator | A useful translator if you happen to meet the 'uncle-of-the-road' in the streets of Milan. |
| 2019 | Stochastic Modeling of Pollutant Transport in Aquifers | We modeled groundwater particles trajectories as a random-motion and computed their probability of polluting a well. We compared different Montecarlo techniques with a deterministic approach based on PDEs. |
| 2018 | Street Detection from Aerial Imagery | Given a satellite image of a city, we trained a convolutional neural network (CNN) to identify and highlight streets. |
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