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Case studyCompleted

M-Pesa Payment Integration Library

Built a production M-Pesa Daraja integration with typed APIs, async jobs, retries, webhook validation and transaction audit logs.

Node.jsTypeScriptPostgreSQLBullMQRedisSafaricom Daraja API

Project summary

Production TypeScript integration for Safaricom Daraja API with STK Push, B2C, C2B callbacks, queues, retries and audit logs.

Monthly Volume

KES 1M+

Flows

STK Push, B2C, C2B

Problem

  • Payment integrations need reliability, traceability and safe retry behavior because failures affect real money.

Architecture

  • Problem-first presentation: the case study opens with the operational or engineering pain point, not a UI effect.
  • Implementation details are summarized through stack, workflow, integrations, data handling and deployment context.
  • Sensitive client/company details are sanitized while preserving real business value and technical credibility.
  • Every project record links stack, proof, engineering evidence and measurable impact where available.

Key Decisions

  • Use real resume evidence only: client work, company work, academic research and completed portfolio platform work.
  • Keep private learning plans out of the public portfolio.
  • Avoid overclaiming: status, proof and metrics must reflect actual evidence.
  • Prioritize readable business value and implementation decisions over decorative presentation.

Implementation

  • Built a typed Daraja API integration layer with STK Push, B2C, C2B callbacks, BullMQ jobs, retries, webhook validation and PostgreSQL transaction audit logs.
  • Stack used: Node.js, TypeScript, PostgreSQL, BullMQ, Redis, Safaricom Daraja API.
  • Documented the project with a recruiter summary, business value and engineering evidence.
  • Prepared the project for public case-study presentation with safe disclosure boundaries.

Quality Gates

  • Testing evidence is expected or present.
  • CI/CD evidence is expected or present.
  • Deployment or real operational use is part of the proof.
  • Public wording avoids private planning language and keeps the portfolio professional.

Results

  • Supported a live e-commerce environment processing KES 1M+/month.
  • Strengthens the portfolio through real-world experience instead of tutorial-style claims.
  • Supports positioning across software engineering, IT systems, business automation and applied AI/ML engineering.

Future Improvements

  • Add screenshots or diagrams where safe to publish.
  • Add demo videos for public-facing work.
  • Attach more measurable performance, reliability or business impact metrics when available.
  • Keep client/company-sensitive details sanitized.

Public Evidence

  • Tests
  • Ci
  • Docker
  • Database Migrations
  • Docs
  • Deployed