Experience

UCPM, Inc.

• Information Technology Developer

  • May 2022 - Present

  C# Web developer. C# Web developer.


Nuvei
• Canada
• Financial Services
• 700 & Above Employee
• Applications Associate

  • Jul 2021 - May 2022

Kforce Inc
• United States
• IT Services and IT Consulting
• 700 & Above Employee
• Consultant

  • Sep 2020 - Jul 2021


PRO-PIPE (Professional Pipe Services)

• United States
• Construction
• 1 - 100 Employee

• Quality Control Technician

  • Oct 2020 - Mar 2021

  Quality Control Technician for field techs running sewer line inspections. Quality Control Technician for field techs running sewer line inspections.



InternMe App

• India
• Internet Marketplace Platforms
• 1 - 100 Employee

• Mobile Development Intern

  • Sep 2019 - Dec 2019

  Initial development of InternMe application for a client of the University of Advancing Technology. Work performed: * Mobile application development with Dart and Flutter * Backend development with cloud based services via Google Firebase Initial development of InternMe application for a client of the University of Advancing Technology. Work performed: * Mobile application development with Dart and Flutter * Backend development with cloud based services via Google Firebase



Project Athena

• Germany
• Non-profit Organization Management
• 1 - 100 Employee

• Frontend Developer

  • Jan 2018 - Dec 2019

  Designed and developed GUI wrapper for generative adversarial network tool with PyQt. Project renamed to ANNI. Project utilizes PyTorch,PyQt, Pandas, MatPlotLib and many more to create the foundation for an AI development suite. Project returns training control of AI models back to the engineer by providing an object oriented neural network development approach assisted with a GUI interface for training on the engineer's time. Designed and developed GUI wrapper for generative adversarial network tool with PyQt. Project renamed to ANNI. Project utilizes PyTorch,PyQt, Pandas, MatPlotLib and many more to create the foundation for an AI development suite. Project returns training control of AI models back to the engineer by providing an object oriented neural network development approach assisted with a GUI interface for training on the engineer's time.