Reliability first
Regression safeguards, expanded test coverage, and acceptance-criteria validation aren't a phase — they're the contract. The system stays stable while features land.
Software & Infrastructure Engineer · Kigali, Rwanda
I build software systems — and the infrastructure that runs them.
Versatile Software & Infrastructure Engineer with over 5 years of experience building products and operating the systems they run on. Across Fintech, Edutech, and Agritech I've shipped microservices, ETL pipelines, and cloud-native infrastructure — and I'm just as comfortable on bare-metal Linux servers, hardening them and keeping them secure.
5+
Years building products
$6M+
Fintech transactions processed
99.99%
Uptime SLO maintained
Selected work
04 roles- 01
Lybertine — Senior Software Engineer
07/2025 — PresentUnited Kingdom- Supporting engineering leadership by assisting the Head of Engineering in defining team direction, architectural standards, and delivery processes.
- Driving full-stack development across Lybertine's microservices, including version-control integrations (GitHub, GitLab), CI/CD, and databases.
- Authored and maintained the company's engineering documentation, development guidelines, and onboarding materials.
- Championed reliability improvements via regression safeguards, expanded test coverage, and UAT/acceptance-criteria validation.
TypeScriptNext.jsMicroservicesObservabilityLinuxStakeholder Engagement/ManagementVideo StreamingTicketing - 02
Upfirst — Software Engineer II
02/2025 — 05/2025Miami, Florida- Implemented AI-assisted workflows enabling customers to seamlessly configure agents to carry out user-defined actions.
- Spearheaded maintenance and devops efforts to keep the existing system stable through new feature rollouts on cloud-based serverless infrastructure.
- Managed automation around observability so issues from the system are handled promptly.
TypeScriptOpenAI APIServerlessDistributed SystemsGCPObservability - 03
Periteleios — Senior Software Engineer
04/2023 — 02/2025USA- Developed automated data transformation pipelines for on-premise and cloud data systems.
- Implemented multiple SQL-dialect compilers (HQL, Athena SQL) using Rascal MPL.
- Generated and managed Terraform modules for cross-platform infrastructure provisioning on AWS.
- Built and deployed Oozie artifacts for ETL workflow orchestration.
- Implemented a websocket solution in Java to extend RascalMPL functionality, enabling LSP/CLI cross-platform integration.
JavaRascal MPLTerraformAWSOozieETLSQLCompilersMetaprogrammingCI/CDData Engineering - 04
Dedukt — Software Engineer
11/2021 — 04/2023Lagos, Nigeria- Implemented a saving system using Apache Fineract and Mifos to process, log, and monitor transactions — 30% workload reduction.
- Authored and maintained APIs and documentation for smooth system integration.
- Implemented ETL pipelines for loan data migration into a Loan Origination System (LOS).
- Championed maintenance efforts for system stability and better UX.
JavaJavaScriptApache FineractMifosETLREST APIs
How I work
09 principlesDocumentation is leverage
Clear engineering docs and onboarding materials compound. They turn one engineer's context into the team's shared baseline.
Cloud-agnostic by design
Architecture should survive a cloud migration. Decisions favor portability, infrastructure-as-code, and Terraform modules over vendor lock-in.
Test what matters
From SQL-dialect compilers to API contracts, tests guard the boundaries that fail loudly. Coverage is a means, not the goal.
Cross-functional defaults
Design, Product, and Infrastructure aren't downstream of engineering — they're how delivery actually happens. Build the workflow with them, not for them.
Maintainability over cleverness
The best system is the one the next person can extend. Boring, predictable code beats a clever abstraction every time.
Clean-room engineering
When rebuilding a system, the new code is driven by specs and observable behavior — never by reading the legacy source. That keeps inherited bugs, hidden assumptions, and IP risk on the other side of the wall.
Observability over guesswork
Logs, metrics, and traces aren't a nice-to-have — they're how the system warns you before users do. Mature observability is what turns 3am pages into morning tickets and shrinks MTTR by the only number that matters: actual incidents.
Security as the default state
Hardening, TLS, least-privilege, and patched dependencies aren't bolted on at the end — they start at the kernel and shape every API contract. Treating security as a feature is paid for in incident reports.
Projects
04 side betsBankvole ↗
Live demoA banking platform built for a client — production-adjacent fintech UX, account flows, and core money movement.
FintechBankingLive demo
SeekMake ↗
11/2024 — 03/2025A SaaS platform that helps manufacturers manage their business and customers directly — invoicing, customer relationships, and product timeline tracking in one place.
SaaSAngularMicroservicesMonoreposManufacturingFintech
WakeFlow ↗
03/2022 — 05/2022A workflow automation experiment exploring scheduling and event-driven triggers.
WorkflowAutomation
Crop2Cash ↗
01/2022 — 03/2022Built backend for the Crop2Cash Marketplace — an agritech e-commerce platform helping smallholder farmers in Nigeria source seeds, fertilizers, and other inputs. Implemented chart APIs to surface live database data and introduced a programming system that streamlined integration with existing services.
AgritechBackendAPIsMarketplacePostgresqlFintech
Technical expertise
stackPrimary stack
- Languages
- TypeScriptJavaPythonGolangScalaKotlinRascal MPL
- Frameworks
- NestJSNext.jsAngularNode / ExpressJavaFX
- Architecture
- MicroservicesMonolithsMonoreposServerlessEvent-drivenETL pipelines
Tools & specialties
- Cloud & Infra
- AWSGCPTerraformKubernetes (K8s)
- Linux & Security
- Linux (Ubuntu/Debian)Bash scriptingSSH / TLSNginxUFW / iptablesFail2banServer hardeningLet's Encrypt
- Data
- PostgresqlMySQLMongoDBSQL
- Messaging
- KafkaRabbitMQ
- CI/CD & Tools
- GitHub ActionsCI/CDOpenAI APIApache Fineract
- Editors
- VimNeovim (favorite)