Antonio Jackson
About Antonio Jackson
Antonio Jackson is an Associate Software Developer currently working at Ibotta, Inc. in Denver, Colorado, with a background in social services and a focus on using technology for positive social change.
Work at Ibotta
Antonio Jackson is currently employed at Ibotta, Inc. as an Associate Software Developer. He has held this position since 2021, contributing to the company's software development efforts in Denver, Colorado. His role involves utilizing his programming skills to enhance the functionality and user experience of Ibotta's applications.
Education and Expertise
Antonio Jackson studied at the University of Nebraska at Omaha, where he earned a Bachelor's degree in Urban Studies/Affairs from 2011 to 2012. He also attended Turing School of Software & Design, achieving a Back-End Engineering Certificate in 2020. His educational background equips him with knowledge in both urban issues and software development.
Background in Social Services
Antonio Jackson has a diverse background in social services, having worked in various roles that include Blood Donation Recruiter at the American Red Cross Blood Services and Eligibility Technician II at the City and County of Denver. His experiences in these positions have shaped his interest in using software development as a tool for positive social change.
Career Progression
Antonio's career includes multiple roles in software development and social services. Before joining Ibotta, he worked briefly as a Software Engineer at Only Sky Inc. and participated in various software development task forces for different agencies. His previous positions also include working as a Program Accuracy Specialist and Social Services Worker at the Nebraska Department of Health and Human Services.
Interests in Technology and Equity
Antonio Jackson has a strong interest in health technology that aims to expand access and increase equity in healthcare. He focuses on fintech solutions that provide financial services to underserved populations. Additionally, he explores artificial intelligence and machine learning algorithms to identify bias in hiring, funding, and educational institution admission decisions.