Riza Michelle Jumola's profile picture

Riza Michelle Jumola

Software Engineer at Chargeflow

Riza Michelle Jumola has a diverse work experience in the field of software engineering. Riza Michelle started their career at Internetworking and Broadband Consulting Co Ltd in July 2015, where they worked as a Programmer until May 2016. From June 2015 to June 2016, they also gained experience as a Programmer at the Polytechnic University of the Philippines Software Research Group. In September 2016, they joined the Movie and Television Review and Classification Board as a Senior Web Programmer for a brief period until December 2016.

Continuing their career, Riza joined Nokia in September 2017 as a Software Engineer and worked there until June 2020. Riza Michelle then moved to Growsari in August 2020, where they held the role of Full-stack Engineer until March 2023.

Currently, Riza is working at Chargeflow as a Software Engineer, starting from March 2023.

Riza Michelle Jumola completed a Bachelor of Science in Information Technology from the Polytechnic University of the Philippines, graduating in 2016. Additionally, they obtained several certifications in various fields such as AWS for DevOps, continuous delivery and process automation, designing RESTful APIs, programming foundations for web security, advanced Python, critical thinking, faster Python code, and advanced Python design patterns. These certifications were obtained from LinkedIn in 2020.

Location

Parañaque City, Philippines

Links

Previous companies


Org chart

No direct reports

Teams


Offices

This person is not in any offices


C

Chargeflow

2 followers

Chargeflow is a game-changing solution that automates the recovery of credit card disputes for merchants by leveraging advanced technology. It not only increases profit incrementally, but also improves internal productivity to enable growth functions of the business.At our core, we’re a high-tech-driven startup with reliable results which benefitany business, of any size, using well-experienced machine-learning modules to drive better and more efficient ways to keep your online growth stable and remove the burden of chargebacks.


Industries

Employees

51-200

Links