Global Pioneers LLC

Web Development, Data Science, and Cybersecurity Experts

Overview

Global Pioneers is specialized in delivering cutting edge projects to our clients. Comprised of a team of engineers that have worked and consulted on projects for companies such as Microsoft, NASA Langley, SuperDataScience, Ligency Ventures and much more, we have over 10 years experience in Artificial Intelligence, Machine Learning, Data Science, Web Development, Cybersecurity and general software engineering. Based out of New York, our team is consistently involved in groundbreaking research projects and development initiatives, and these skills carry over to delivering extremely high value along with ROI on projects. For a few examples of our expertise, we have integrated custom AI/NLP into web apps and services, migrated and rebuilt applications, built web apps from the ground up, launched e-commerce products serving millions of individuals along with analyzing vast quantities of data to provide strategic insights for decision makers and have audited and updated projects to adhere to modern cybersecurity standards. If you are seeking guidance on a project, looking to inquire about costs or ready to harness the power of a highly skilled small team of engineers, please feel free to contact us at any time.

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Services

Web Development
Machine Learning
Data Visualization
Data Mining & Management
Information Security
Data Analysis & Testing
Ecommerce Development

Skills

Artificial Intelligence
Data Analysis
Python
Data Science
Web Design
Computer Vision
Web Application Security
Penetration Testing
Natural Language Processing
Machine Learning
JavaScript
Web Application
TensorFlow
React
Security Engineering
100% Job Success
Rising Talent

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Upwork activity

Hourly rate

$85.00 - $125.00

Total earned

$50K+

Total jobs

7

Member since

Oct 15, 2021

Company information

Agency size

2-10 workers

Year founded

2014

Client focus

Large business

Medium business

Very small business

Small business

Languages

English: Native or Bilingual