Alberto Raimondi

Alberto Raimondi

Software Engineer

Standard.ai

Nice to meet you!

Hi 👋, I’m Alberto and I’m a software engineer 🖥️ specializing in deep learning 🧠 and machine learning. I’m currently working on autonomous checkout systems 🛒 at Standard.ai. I previously worked on computer vision👁️, electromagnetic signal optimization 📡 and social media analytics🤳.

My main interests include knowledge representation, artificial intelligence, math, and computer science.
I’m currently living in Milan and working remotely.

Interests
  • Artificial Intelligence
  • Natural Language Processing
  • Knowledge Representation
Education
  • MSc in Data Science, 2019

    Università degli studi di Milano - Bicocca

  • Erasmus Traineeship Program, 2019

    Universidad Autónoma de Madrid (UAM)

  • BSc in Finance, Banking and Financial intermediaries, 2017

    Università degli studi di Milano - Bicocca

Skills

Some things I am good at…

Python
PyTorch
GNU/Linux
Git
Javascript
Matlab
SQL
AWS
Statistics
Data Visualization
Docker

Experience

 
 
 
 
 
Software Engineer - Machine Learning
May 2022 – Present San Francisco (CA)

Working on human pose estimation for autonomous checkout systems.

  • Active Learning
  • Model optimization
  • Data versioning
 
 
 
 
 
Machine Learning Engineer
May 2021 – May 2022 Milan (MI)

Working on social media data analysis using statistical models to predict demographic data and user interest.

  • Data collection
  • Model creation and optimization
  • Scalable machine learning systems deployment
 
 
 
 
 
Junior Researcher
Nov 2019 – Apr 2021 Milan (MI)

Worked on deep learning models for dealing with electromagnetic and image data.

  • Implemented deep learning models for signal optimization and noise reduction to aid communications in problematic conditions.
  • Deployed different models on embedded hardware subject to computing constraints. Responsibilities include:
  • Data analysis
  • Model creation and optimization
 
 
 
 
 
Undergraduate Researcher
Jun 2018 – Oct 2018 Milan (MI)
  • Developed a back end system for a “smart mirror” IoT device allowing data collection and analysis to help senior citizens assistance.
  • Built a system for real time neural network inference on IoT devices using remote computing resources.
  • Implemented an image detection system for real time user interaction.

Accomplish­ments

Some things I am proud of…

Private scholarship
Private scholarship assigned to the best students of the 2017 cohort of the Data Science curriculum.
Hackathon Winner
First classified in the Hackathon for the 30th anniversary of the quality of life survey made by Il Sole 24 Ore every year. Sponsored by Oppo.
Python programming teaching assistant
Teaching assistant for an introductory python programming MOOC.
Machine learning MOOC collaborator
Helped the creation of a public machine learning MOOC financed by European structural funds.
Private scholarship
Private scholarship for outstanding student achievements.