Ronnie Delyon
Artificial Intelligence at Carnegie Mellon University Africa
Rwanda
Hi, I'm Ronnie Delyon!
Development, Implementation and Support Engineer at Sybrin Systems
Systems Developer and Solutions Architect with a decade spent building and managing various automation and payments processing systems in the Banking and Financial sectors. Proven ability to design and implement solutions that help increase efficiency and reduce cost in business processes. Interested in leveraging my past professional experience and my graduate school study of Artificial Intelligence and Machine Learning to find novel solutions to system and structural challenges in the developing world.
Experience
Sybrin Systems
Development, Implementation and Support Engineer
December 2017 - July 2024
Managed technical application support for clients of Sybrin’s Banking and Financial Software products in Uganda such as Absa Bank and DTB Uganda.
Oversaw product improvements in the DTB Uganda Account Opening product that led to a reduction in turnaround time from two days to thirty minutes and allowed for a transition to paperless processing of numerous associated internal banking operations delivering cost, efficiency and environmental benefits.
Joined the Sybrin team that Implemented and deployed the client-side systems that enabled the transition to cheque truncation in Uganda for Sybrin’s clients.
Ground Up (a Compuscan Company)
Data Administrator
June 2016 - December 2017
Led the team that developed strategies, software and tools to manage the Extraction, Processing and Storage of data coming from Ground Up’s clients and partners.
Improved on the company’s existing data pipeline by implementing applications that allowed for seamless integration with partners who had diverse systems and internal data architectures.
Compuscan CRB
Business Intelligence Developer
April 2014 - June 2016
Joined and later led the Business Intelligence team that developed Internal business applications to support the operations of the Company.
Developed an intelligent data correction system that reduced the time taken to identify and correct errant data in the bureau from a day to less than thirty minutes.
Oversaw maintenance of the company’s data pipeline and engaged with clients and the Central Bank to integrate upstream and downstream data sources and destinations.
Education
Artificial Intelligence
Carnegie Mellon University Africa
Graduating in 2026
Carnegie Mellon University Africa
Certificates & Badges
No certificates or badges added
Projects
No projects added
Languages
English
Native
German
Beginner
Skills
Software Product Management
Data Engineering
Artificial Intelligence / Machine Learning Applications