Experience

Wind River

• United States
• Software Development
• 700 & Above Employee

• Cloud Platform Developer

  • Jul 2022 - Present



Ford Motor Company

• United States
• Motor Vehicle Manufacturing
• 700 & Above Employee

• Software Systems Integration Test Developer

  • May 2019 - Jul 2022



Municipal Property Assessment Corporation

• Government Administration
• 700 & Above Employee

• Intermediate Systems Developer

  • May 2018 - Sep 2018

  Designed and created new product generation pipeline to support faster product turn around and reduce complexity associated with creating custom product tenplates for clients.Provided meaningful performance improvements, shortening the time it took to bundle data into products. Coupled with simplified method for creating product templates; product creation cycle was greatly improved.

• Junior Systems Developer

  • Jan 2018 - May 2018

  Worked directly with business analysts to create custom products. Initially working on legacy decommissioning and contract delivery assurance.New style products were created by leveraging AWS's S3 and RedShift to create bundles that could be sold to meet client specifications and needs.Also assisted in minor roles, helping with automation.



Seneca College

• Canada
• Higher Education
• 700 & Above Employee

• Research Assistant

  • May 2017 - Dec 2017

  Designed and implemented categorization and query-based information retrieval systems using machine learning and NLP. Renifing existing dataset, using clustering to improve accuracy and scalability. Created tools for ingesting incoming public-domain documents to incorporate them into existing dataset. Performed additional research into anomoly detection, looking for flaws in dataset. For example; mislabeled data and topic bias. Designed and implemented categorization and query-based information retrieval systems using machine learning and NLP. Renifing existing dataset, using clustering to improve accuracy and scalability. Created tools for ingesting incoming public-domain documents to incorporate them into existing dataset. Performed additional research into anomoly detection, looking for flaws in dataset. For example; mislabeled data and topic bias.