ABOUT ME
AI ENGINEER
Hi, my name is Elia and I'm an AI Engineer at SRG SSR, where I'm responsible for designing, implementing, and optimizing cutting-edge AI solutions to address complex challenges across various domains (R&D).
I love AI in all its shapes (Generative AI, Machine Learning, Deep Learning, and Data Analytics), especially applied to my main areas of interest and passions: Computer Vision, Computer Graphics, Virtual Reality, Game Development, Music and Art.
Since I was a small kid I have been fascinated by computers and videogames and such interest grew stronger as I got older. In 2021 I finally became a computer scientist by getting an Engineering of Computing Systems Bachelor’s degree. After that, specializing in AI was a no-brainer choice for me: I always wanted to not only work in the field I love, but I want to research its improvement and evolution as well. For this purpose, Artificial Intelligence is perfect as it can be applied to anything while being enormously interesting as a topic on its own. In 2024 I finally obtained my MSc Data Science diploma at EPFL, ready to officially start my career with AI on real-world problems.
GenAI & Deep Learning & ML100%
Computer Vision & Graphics 95%
Data Analytics 85%
Software Development 80%
Game Development 70%
Some Tools
Languages:
AI and Data Science:
Game Development:
Web Development:
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MY JOURNEY UNTIL NOW
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Science High School Diploma
Republic of San Marino’s upper secondary school 2013-2018GPA: 100 /100 with honours
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Engineering of Computing Systems Bachelor’s degree
Politecnico di Milano2018 - 2021GPA: 108/110 13th university in Engineering and Technology (2020 QS W.U. Rankings) Merit Based Scholarship 2020, Best Freshmen Prize 2019San Marino Merit Contribute 2019, 2020, 2021
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MSc Data Science
EPFL, Swiss Federal Institute of Technology2021 - 2024GPA: 5.42/6 11th university in Data Science and Artificial Intelligence (2024 QS World University Rankings)
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AI ENGINEER
Play Suisse, SRG SSR, Geneva
2024 - NowResponsible for designing, implementing, and optimizing cutting-edge AI solutions to address complex challenges across various domains (R&D)
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Where next?
Projects
All the images with the four coloured squares on the bottom right were created using DALL·E 2 AI by OpenAI to metaphorically represent the content of the projects.
FastNRTF
Efficient 3D reconstruction and relighting of complex scenes with global illumination effects using Neural Radiance Transfer Fields.
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RocketMan
A Virtual-Reality "escape-room-like" videogame for Oculus Quest, developed with Unity Engine using only the basic Oculus Framework. Game awarded as best game and trailer of the course ( year 2021/2022).
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2D Priors for 3D human reconstruction
Potential of 2D Priors for Improving Robustness of single-image 3D Human Reconstruction, with CLIP supervision and Multimodal learning.
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Data Visualization Website
Market analysis of mobile apps dataset with interactive plots, with D3.js and Google Charts.
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ZO-AdaMM vs FO-AdaMM
Implementation and comparison of zero order vs first order method on the AdaMM (aka AMSGrad) optimizer: analysis of convergence rates and minima shape.
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Noise2Noise Lite
Noise2Noise is an AI denoiser trained with noisy images only. We implemented a ligther version which trains faster on smaller pictures without losing performance and an even simpler one where every low-level component was implemented from scratch, including a reimplementation of autograd.
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Insurance company & Piccardi Music
Two data analysis projects to practice Pandas, Data Wrangling, Data Vizualization, Regression, Observational Studies, Statistics and Supervised Learning ( w/ scikit-learn and statsmodels).
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Political party classifier from quotes
A Quotebank data analysis to build a political party classifier based on quotes, explained with a data story. Includes sentiment analysis, grammatical structure/complexity analysis and topic labeling.
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Q-NIM
Reinforcement Learning: Q-Learning and Deep Q-Learning to train artificial agents that can play the famous game of Nim.
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HCGM and VuCondat for Semidefinite Programming
Semidefinite Programming with Homotopy Conditional Gradient Method (HCGM) and Vu-Condat methods for solving two problems: Fashion-MNIST classification using k-means clustering and geometric embedding for the Sparsest Cut Problem.
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RMSProp and AMSGrad for MNIST image classification
Implementation and comparison of SGD, SGD with momentum, RMSProp and AMSGrad optimizers on the Image classification task using MNIST dataset.
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CSI using Blind Image Deconvolution and Frank Wolfe
Blind Image Deconvolution and Frank-Wolfe's algorithm to deblur a license plate for Crime Scene Investigation (CSI).
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WGAN learns the distributon of a MoG
A Wasserstein Generative Adversarial Network that learns the distribution of a Mixture of Gaussian, using weight clipping or spectral normalization.
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Image Reconstructor
An Image Reconstructor that applies fast proximal gradient method (FISTA) to the wavelet transform of an image using L1 and Total Variation (TV) regularizations.
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FO & PROX
Implementation and brief comparison of different First Order and different Proximal gradient methods, comparison of their convergence rates.
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Higgs Boson Classifier using LHC CERN data
An AICrowd Challenge: Logistic Regression classifier that predicts whether an event's decay signature was the one of a Higgs Boson.
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Road Segmentation
An AICrowd Challenge: CNN classifier that predicts whether the pixels of an image represent a road or not.
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Master of Renaissance
An online multiplayer board game coded in java, playable both on a javaFX GUI or on CLI, with many server features to make it robust to connection problems.
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PoliMusic
A website that lets the user upload his songs on a server. It was made in two versions: Pure HTML (thin Client) and Thymeleaf Rich Internet Application (thick Client).
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Aerial Photography Simulation for photogrammetric flight design
Python software with GUI, capable of simulating an aerial photo given a pair DEM-Orthophoto (in GeoTIFF format).
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edU
Time (ms) and space (RAM usage) optimized command line text editor with multiple undo/redo feature.
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STEALTH
A simple command line arcade game, created in order to train with the basics of C programming after the first semester at my Bachelor's degree
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