Jama Mohamed
Software Engineer - Core Product at JUMO
Nairobi County, Kenya
Summary
👤
Senior🎓
Top SchoolJama Mohamed is a software engineer with 8 years' experience building scalable, production-grade systems for fintech at JUMO in Nairobi, currently focused on core product engineering. He has strong end-to-end chops across backend services, data streaming (Debezium, Kafka, Flink, Spark), and cloud-native delivery (Kotlin, Spring Boot, AWS, Terraform, Argo), plus hands-on telemetry and SRE practices with Datadog. Jama also contributes to open-source mobile tooling—authoring and testing core features for a Flutter date/time package—demonstrating a pragmatic learning-by-building approach. Former roles in customer and business risk highlight his ability to design reliable fraud, credit and sanctions checks integrated with telcos and banks. He pairs a Business Information Technology degree from Strathmore with a curiosity for systems that improve people’s lives, often learning new technologies by shipping them.
8 years of coding experience
Barchelor in Business Information Technology, Business Information Technology, Barchelor in Business Information Technology, Business Information Technology at Strathmore University
English
Github Skills (8)
testing10
datetime10
flutter-game10
dart10
datetimes10
flutter-apps10
flutter10
intl9
Programming languages (6)
Github contributions (5)
jama5262/Jiffy
Oct 2019 - Oct 2019
Role in this project:
Mobile Developer
Mobile DeveloperContributions:1 branch in 1 day
Contributions summary:Jama primarily contributed to setting up and testing the functionality of a Flutter-based date and time package, "Jiffy". The commits involve setting up the test environment, implementing get methods for date and time components, and implementing methods for manipulating dates and times. These contributions suggest a focus on building the core features of the Flutter package.
jama5262/Mpesa-Ledger-Flutter
Jul 2019 - Dec 2020
This is an MPESA ledger project that receives and listens to SMS from MPESA to create an analytical view of your MPESA transactions, that is, deposits and withdrawals all stored in an SQLite Database. Other features include categorizing your transaction, calculating MPESA transactions fees and a year monthly summary
Contributions:2 releases, 20 PRs, 69 pushes in 1 year 5 months
storeddepositswithdrawalsmpesasms
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