Hello!

I'm Matteo Conti, a full-stack developer and artificial intelligence student focused on exploring the dark side of machine learning algorithms.

Get in touch matte.conti@icloud.com

About Me

I'm looking for more difficult problems than this .

Experience
Full-Stack Developer   /   Novalab   (Reggio Emilia, Italy)
Dec 2018 - Present
Javascript, NodeJS, MongoDB, React, Vue.js, Swift, AWS
Full-Stack Developer   /   Multitraccia   (Reggio Emilia, Italy)
Feb 2018 - Set 2018
PHP, Laravel, MySQL
Backend Developer   /   Freelance   (Reggio Emilia, Italy)
Set 2016 - Dec 2017
HTML5/CSS, Javascript, NodeJS, MongoDB, Heroku
Education
Alma Mater Studiorum - University of Bologna
Alma Mater Studiorum - University of Bologna
Skills
Languages
  • JavaScript
  • PHP
  • Python
  • Swift
Frameworks
  • Laravel
  • Node.js
  • React
  • Vue.js
Database
  • MySQL
  • MongoDB
  • DynamoDB
Cloud
  • AWS
  • Heroku


Libraries
  • Pandas
  • Scikit-Learn
  • Tensorflow
  • Keras
Researches
  • Augmented Reality
  • Reinforcement Learning
  • Machine Learning
  • Microservices
 
     
      Certificates
      Deep Learning Applications
      May 2021
      IFOA - Training Institute of Corporate Professionals
      First Certificate in English (FCE)
      Set 2020
      Cambridge Assessment English
      Other Projects

      Autonomous intelligent player for the ancient game Tablut. This project was developed for the university Tablut Challenge organized by AI@unibo Research Group.

      Multiprocessing Numpy Python

      A list of Machine Learning algorithms to identify the programming language of a generic source code file. This project and the relative paper were presented for my Bachelor Degree Thesis.

      Numpy Pandas Python Scikit-Learn

      Multiplayer mobile application based on popular Italian game called "Briscola", developed for a university project.

      CoreData Facebook-SDK Multipeer-Connectivity Swift

      YouTube music video crawler which can play and recommend music videos based on artist or music genre. The recommendation system uses a GraphQL query engine.

      GraphQL MySQL NodeJs Passport Sequelize Youtube-Api

      Simple 2D "Hide & Seek" game built with SFML graphic library, developed for a university project.

      C++ SFML