Gabriel Vasconcelos
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Gabriel Vasconcelos Email & Phone Number

Software Engineer @ Prediktive | Python, JavaScript, Docker, Kubernetes, Django, FastAPI, Cloud at Prediktive
Location: Brasília, Federal District, Brazil 6 work roles 1 school
1 work email found @prediktive.com LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

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Work email g****@prediktive.com
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Current company
Role
Software Engineer @ Prediktive | Python, JavaScript, Docker, Kubernetes, Django, FastAPI, Cloud
Location
Brasília, Federal District, Brazil
Company size

Who is Gabriel Vasconcelos? Overview

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Quick answer

Gabriel Vasconcelos is listed as Software Engineer @ Prediktive | Python, JavaScript, Docker, Kubernetes, Django, FastAPI, Cloud at Prediktive, a company with 42 employees, based in Brasília, Federal District, Brazil. AeroLeads shows a work email signal at prediktive.com and a matched LinkedIn profile for Gabriel Vasconcelos.

Gabriel Vasconcelos previously worked as Software Engineer at Prediktive and Full Stack Engineer at South System. Gabriel Vasconcelos holds Bacharelado, Computer Science from Universidade Católica De Brasília.

Company email context

Email format at Prediktive

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{first}.{last}@prediktive.com
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AeroLeads found 1 current-domain work email signal for Gabriel Vasconcelos. Compare company email patterns before reaching out.

Profile bio

About Gabriel Vasconcelos

As a Software Engineer I develop robust applications that leverage microservices architecture to deliver performative and reliable solutions, dealing with larges amounts of data and Machine Learning models.I'm passionate about solving complex problems with technology and improving my skills as a professional. I enjoy working in a collaborative environment where I can learn from others and contribute to the success of the team and the organization. My goal is to bring value to society through my work and to make a positive impact on people's lives.

Listed skills include Artificial Neural Networks, Scikit Learn, R, Deep Neural Networks, and 42 others.

Current workplace

Gabriel Vasconcelos's current company

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Prediktive
Prediktive
Software Engineer @ Prediktive | Python, JavaScript, Docker, Kubernetes, Django, FastAPI, Cloud
san jose, california, united states
Website
Employees
42
AeroLeads page
6 roles

Gabriel Vasconcelos work experience

A career timeline built from the work history available for this profile.

Software Engineer

Current

California, United States

Feb 2023 - Present

Full Stack Engineer

Brazil

Developed financial applications leveraging micro services architecture to deliver robust Banking as a Service (BaaS) solutions and an ERP system. Ability to resolve complex issues in high-pressure production environments and to provide comprehensive training to onboard new developers.

Dec 2021 - Feb 2023

Python Developer

Brasília, Federal District, Brazil

Development and maintenance of a customized ETL-based software and an API used to gather, process, validate and persist data of a wide-nation educational census from INEP.Provided efforts into analyzing the system's performance and propose a solution. Profiled our services with yappi to identify hot spots in areas the application was spending too much.

Jun 2021 - Dec 2021

Full Stack Engineer

Brasília Area, Brazil

Built NLP, Clustering and Object Detection Machine Learning models and the entire ecosystem to deliver them to final users using micro services architecture. The system consisted of several web crawlers, a service that retrieved documents from a public gov API, services to interact with the models, an API and a Web Application. Communication between.

Sep 2019 - Jun 2021

Full Stack Engineer

Mais Simples

Brasília, Federal District, Brazil

Developed features and restructured a front end page for a legal software developed to manage tax law related documents for businesses. The software acquired data through XML import of electronic invoices and calculated the restitution for ICMS taxation.

Dec 2020 - Jul 2021

Software Engineer Intern

Brasília E Região, Brasil

Built a Web App to handle all activities related to legislative processes inside the party leadership to provide mobility and ease of access of legislative related documents and data. Integration with Google Maps API and ChartJS to visualize key information for better decision making.

Oct 2018 - Sep 2019
Team & coworkers

Colleagues at Prediktive

Other employees you can reach at prediktive.com. View company contacts for 42 employees →

1 education record

Gabriel Vasconcelos education

FAQ

Frequently asked questions about Gabriel Vasconcelos

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

What company does Gabriel Vasconcelos work for?

Gabriel Vasconcelos works for Prediktive.

What is Gabriel Vasconcelos's role at Prediktive?

Gabriel Vasconcelos is listed as Software Engineer @ Prediktive | Python, JavaScript, Docker, Kubernetes, Django, FastAPI, Cloud at Prediktive.

What is Gabriel Vasconcelos's email address?

AeroLeads has found 1 work email signal at @prediktive.com for Gabriel Vasconcelos at Prediktive.

Where is Gabriel Vasconcelos based?

Gabriel Vasconcelos is based in Brasília, Federal District, Brazil while working with Prediktive.

What companies has Gabriel Vasconcelos worked for?

Gabriel Vasconcelos has worked for Prediktive, South System, Basis Tecnologia Da Informação S.A., Mais Simples, and Câmara Dos Deputados.

Who are Gabriel Vasconcelos's colleagues at Prediktive?

Gabriel Vasconcelos's colleagues at Prediktive include Jose Augusto Neto, Juan Escudero, Martina Rothberg Dussaut, Luis Nuesi Tejada, and Micaela Caride.

How can I contact Gabriel Vasconcelos?

You can use AeroLeads to view verified contact signals for Gabriel Vasconcelos at Prediktive, including work email, phone, and LinkedIn data when available.

What schools did Gabriel Vasconcelos attend?

Gabriel Vasconcelos holds Bacharelado, Computer Science from Universidade Católica De Brasília.

What skills is Gabriel Vasconcelos known for?

Gabriel Vasconcelos is listed with skills including Artificial Neural Networks, Scikit Learn, R, Deep Neural Networks, Linux, Data Science, Rest, and Github.

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