Skip to content
View marcotallone's full-sized avatar

Block or report marcotallone

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
marcotallone/README.md

Hi , I'm Marco

Gmail LinkedIn

About Me

I'm a Computer Scientist with experience in scientific computing, software development, machine learning and mathematical modelling.

Throughout my academic and professional career, I have learned to translate solid theoretical foundations into production-ready software. My expertise centers on developing predictive data-driven models and implementing end-to-end computational pipelines that involve data collection and quantitative analysis, model training on actual HPC infrastructure, testing and deployment in production environments, including resource-limited hardware (edge AI) or the usage of containerization technologies.

At the moment, I'm involved in a research and development project at Glance Vision Technologies (AREA Science Park) with the aim of developing deep learning-based computer vision models for 3D scene reconstruction from visual data, in order to automate real-world industrial and robotic applications.

I'm always curious to learn new things and take part in challenging projects that address practical problems involving a mix of mathematics, software engineering, data science and teamwork!

My background

  Bachelor's Degree in Physics at the University of Trieste (UniTS)

  Master's Degree in Scientific and Data-Intensive Computing (SDIC) at UniTS

Camera with Flash  Research Fellow at AREA Science Park and Glance Vision Technologies

My programming languages

Python C C++ R LaTeX

My projects

NoTeX

A noteworthy LaTeX template.

View repository

Dotfiles

My personal configuration files.

View repository

Railway Scheduling

Railway scheduling optimization using Mixed Integer Linear Programming (MILP).

View repository

Stochastic Prey-Predator

Modelling of stochastic Lotka-Volterra dynamics with fear effect and hunting cooperation.

View repository

BoW Classifier

Bag of Visual Words classifier for image classification and scene recognition in computer vision.

View repository

MPC Tracking

Model Predictive Control (MPC) for tracking and control of non-linear systems.

View repository

Cloud Storage System

Deployment of a cloud-based storage system using Docker and Kubernetes.

View repository

Deep Learning Tumor Detection

Deep learning-based brain tumor classification and segmentation on MRI images using CNN, U-Net, and ViT.

View repository

Parallel Quicksort

Parallel implementations of quicksort in C using MPI and OpenMP.

View repository

Collective Operations

Modelling of MPI collective operations and HPC cluster nodes from point-to-point latencies.

View repository

PINN Pareto Front

Presentation on the apparent Pareto front of PINNs for solving PDEs.

View repository

Improved Q-Learning (IQL)

Presentation of an Improved Q-learning algorithm for the autonomous Path Planning problem.

View repository

Pinned Loading

  1. notex notex Public

    A LaTeX template to take good-looking and nicely organized notes.

    TeX 2

  2. dotfiles dotfiles Public

  3. deep-learning-project deep-learning-project Public

    A deep learning project for brain tumor classification and segmentation on MRI images using CNN, U-Net, and VIT models.

    Jupyter Notebook 1

  4. bow-classifier bow-classifier Public

    Implementing Bag of Visual Words (BoW) classifier for image classification and scene recognition

    Jupyter Notebook 1

  5. cloud-storage-system cloud-storage-system Public

    Development and deployment of a cloud-based storage system, using the Nextcloud platform and two main cloud technologies: Docker and Kubernetes.

    HTML

  6. railway-scheduling railway-scheduling Public

    Improving the scheduling of railway maintainance projects by minimizing passengers delays subject to event requests of railway operators through mixed integer linear programming optimisation.

    Jupyter Notebook