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WhatsApp platforms vs Multichoice installer payments vs Joel Transport

The problem, what was built, the stack and the outcome, next to each other.

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In common

  • Shared stack: none in common
  • Both kinds of work: Platform
  • Order: WhatsApp platforms (2018 – 2022) → Joel Transport (Dec 2022 – May 2023)

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WhatsApp platforms ›

Altur, Harambee and eButler on the WhatsApp Business API

Multichoice installer payments ›

R5M+ paid to installers in the first six months

Joel Transport ›

Online booking platform on AWS

At a glance

Role
Lead engineer, Mmogo Media
When
2018 – 2022
Length
4 yr
Status
Delivered
Type
Platform, AI
Role
Integration engineer
When
Delivered
Length
—
Status
Delivered
Type
Platform
Role
Lead Engineer
When
Dec 2022 – May 2023
Length
6 mo
Status
Live
Type
Web, Platform

The problem

A WhatsApp-based job platform (Altur), Harambee Youth Accelerator's move from a mobisite to WhatsApp, and eButler's WhatsApp ordering with payments through Flash.
Integrated the installer management system into Multichoice's payment process so installers are paid accurately and on time.
Centralised the customer journey and operational data, reduced manual hand-offs and set up a documented AWS foundation.

What was built

—
—
Led architecture and hands-on engineering for an online booking platform: Python APIs and the AWS deployment architecture, integrated with Paystack, Sage Accounting, Zoho Bigin and Zoho SalesIQ.

Stack

  • Python
  • Django
  • WhatsApp Business API
  • Infobip
  • Twilio
  • Payments integration
  • Python
  • AWS
  • Paystack
  • Sage
  • Zoho

Highlights

  • Conversational journeys on the WhatsApp Business API
  • Payments via Flash, Paystack and MTN MoMo
  • Processed over R5 million in installer payments within six months
  • Python APIs and AWS deployment architecture
  • Paystack, Sage Accounting, Zoho Bigin and Zoho SalesIQ integrations

Infrastructure choices

—
—
  • AWS

Outcome

—
Over R5 million in installer payments processed within six months.
Centralised the customer journey and key operational data, reduced manual hand-offs and established a documented AWS foundation for future development.