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Fabrizio Piva Email & Phone Number

Machine Learning Engineer at GitLab
Location: Eindhoven, North Brabant, Netherlands 5 work roles 1 school
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Current company
Role
Machine Learning Engineer
Location
Eindhoven, North Brabant, Netherlands
Company size

Who is Fabrizio Piva? Overview

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Quick answer

Fabrizio Piva is listed as Machine Learning Engineer at GitLab, a company with 3174 employees, based in Eindhoven, North Brabant, Netherlands. AeroLeads shows a matched LinkedIn profile for Fabrizio Piva.

Fabrizio Piva previously worked as AI/ML Engineer at Nxp Semiconductors and PhD Candidate at Eindhoven University Of Technology. Fabrizio Piva holds Msc In Computer Engineering, Informatics, Gpa: 8.46 In 10-Point Grading Scale from Universidad Nacional Del Litoral.

Company email context

Email format at GitLab

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GitLab

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Profile bio

About Fabrizio Piva

With a strong foundation in Python and a passion for Data Science, I am adept at turning complex theories into practical solutions. My hands-on experience with Pytorch and other tools has been central to my success in both research and mentoring roles.I am currently seeking opportunities where I can bring my Python and Data Science skills to the forefront, contributing to a team that values innovation and real-world impact.Beyond my professional pursuits, I play tennis and lift weights, and I enjoy reading about financial trading in my free time.

Listed skills include Gnu/Linux, Latex, Programador C++, Java, and 19 others.

Current workplace

Fabrizio Piva's current company

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GitLab
Gitlab
Machine Learning Engineer
Eindhoven, NB, NL
Website
Employees
3174
AeroLeads page
5 roles

Fabrizio Piva work experience

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Machine Learning Engineer

Eindhoven, NB, NL

Ai/Ml Engineer

Current

Eindhoven, North Brabant, Netherlands

Mar 2024 - Present

Phd Candidate

Current

Eindhoven, North Brabant Province, Netherlands

Research focus: Unsupervised Domain Adaptation and GeneralizationIn the conventional training of a neural network, we rely on labeled datasets to facilitate supervised learning. However, when aiming to deploy such a model in a different context where labeled data is scarce or absent, its performance experiences a significant decline, becoming impractical.

Dec 2018 - Present

Data Scientist | Artificial Intelligence Studio

Córdoba Province, Argentina

Developing Machine Learning algorithms by using Digital Signal Processing techniques for feature extraction, and carrying out Computer Vision projects with Deep Learning

Jan 2018 - Nov 2018

Java Developer

Servicio De Catastro E Información Territorial

Santa Fe Province, Argentina

Jan 2017 - Mar 2017
Team & coworkers

Colleagues at GitLab

Other employees you can reach at gitlab.com. View company contacts for 3174 employees →

1 education record

Fabrizio Piva education

FAQ

Frequently asked questions about Fabrizio Piva

Quick answers generated from the profile data available on this page.

What company does Fabrizio Piva work for?

Fabrizio Piva works for GitLab.

What is Fabrizio Piva's role at GitLab?

Fabrizio Piva is listed as Machine Learning Engineer at GitLab.

Where is Fabrizio Piva based?

Fabrizio Piva is based in Eindhoven, North Brabant, Netherlands while working with GitLab.

What companies has Fabrizio Piva worked for?

Fabrizio Piva has worked for Gitlab, Nxp Semiconductors, Eindhoven University Of Technology, Globant, and Servicio De Catastro E Información Territorial.

Who are Fabrizio Piva's colleagues at GitLab?

Fabrizio Piva's colleagues at GitLab include Riya Sen, Michael Kozono, Sanad Liaquat, Torstein Hauge, and Sarah Cole.

How can I contact Fabrizio Piva?

You can use AeroLeads to view verified contact signals for Fabrizio Piva at GitLab, including work email, phone, and LinkedIn data when available.

What schools did Fabrizio Piva attend?

Fabrizio Piva holds Msc In Computer Engineering, Informatics, Gpa: 8.46 In 10-Point Grading Scale from Universidad Nacional Del Litoral.

What skills is Fabrizio Piva known for?

Fabrizio Piva is listed with skills including Gnu/Linux, Latex, Programador C++, Java, Matlab, Octave, Prolog, and Microsoft Office.

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