Hi, I’m Bruno Chicelli
Machine Learning Engineer

working at Globo with video, audio and text metadata extraction for digital products. I've also worked with digital pricing optimization and ad-related products in digital and broadcasting environments.

I'm currently transitioning into Graph Neural Networks and improving the current graph applications. I enjoy collaborating and sharing knowledge with nice individuals across the world. Reach out to me if you'd like to connect or discuss potential projects.

Reach out

Education

2020-2022

Polytechnic School of the University of São Paulo

Two year especialization in Artificial Intelligence, focusing in Deep Learning and architecture of Neural Networks.

2015-2019

Federal University of the ABC - São Paulo

Completed 90% of the course. Abandoned this degree in order to join the Specialization in AI.

2015-2018

Federal University of the ABC - São Paulo

Major in Science and Tech.

April 2023 - Current

Staff Machine Learning Engineer - Graph Improvement Squad - Data and AI Dept.

Globo

June 2021 - March 2023

Senior Data Scientist - AdTech Squad - Data and AI Dept.

Globo

August 2020 - May 2021

Data Scientist - Advanced Analytics Squad - Data Science Department

Boa Vista

May 2019 - July 2020

Junior Data Scientist - Innovation in Marketing Squad

Arcelor Mittal

Experience

I like building products in large scale scenarios with data.

Linkedin Download My Resume

Projects

Image to Art Search - WikiArt

Find real artwork that looks like any image you want. Made using Vision Transformers w/ Transfer Learning and data from WikiArt and Instagram

Code

3JS Glowing Sphere

Small learning project that I created to teach myself ThreeJS concepts and ThreeJS Fiber (React).

Code Demo

Plotly Calplot

The easiest and best looking Calendar Heatmap you'll find, made with Plotly. I actually got a shoutout from Plotly on Twitter and Linkedin for this one!

Code Medium Article

Todoist Analytics

Keep track and create analytics based on your data from Todoist. If you use Todoist for daily, weekly, monthly or yearly planning you should try this tool. This is how the current version of the tool looks like.

Code Check it out!

NLP Job Classifier (based on linkedin data)

A Job classification between Data Analyst, Data Scientist and Data Engineer web app made with Tensorflow, Selenium and deployed with Streamlit on Heroku. One simply inputs the job description in the input section and the model trained with ~3k job descriptions scraped with Selenium from jobs in the US.