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WhatsApp platforms vs CV Coach vs ParcelNow

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
  • Order: WhatsApp platforms (2018 – 2022) → CV Coach (2025 – present) → ParcelNow (2025 – 2026)

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WhatsApp platforms ›

Altur, Harambee and eButler on the WhatsApp Business API

CV Coach ›

AI CV analysis, job matching and tailored applications

ParcelNow ›

On-demand parcel delivery with real-time tracking

At a glance

Role
Lead engineer, Mmogo Media
When
2018 – 2022
Length
4 yr
Status
Delivered
Type
Platform, AI
Role
Founder / Lead Engineer
When
2025 – present
Length
1 yr 9 mo so far
Status
MVP
Type
AI, Web
Role
Technical lead, Smart Kitchen Co
When
2025 – 2026
Length
1 yr
Status
Delivered
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.
A Chrome extension captures job ads; a LangGraph workflow parses the CV and the ad, scores the match and drafts tailored cover letters and CV revisions.
Customer and operations dashboards with backend services for parcel lifecycles, tracking events and notifications, built for high-throughput transactional workflows.

What was built

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A Chrome extension captures advertisements, stores them in PostgreSQL and queues analysis. The platform compares a CV with a job description, produces a structured match score and generates tailored cover letters and CV revisions.
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Stack

  • Python
  • Django
  • WhatsApp Business API
  • Infobip
  • Twilio
  • FastAPI
  • Next.js
  • Supabase
  • LangGraph
  • LangChain
  • Celery
  • Next.js
  • FastAPI
  • PostgreSQL
  • Redis
  • Docker

Highlights

  • Conversational journeys on the WhatsApp Business API
  • Payments via Flash, Paystack and MTN MoMo
  • LangGraph workflow with custom tools to parse, compare evidence and score the match
  • Asynchronous analysis pipeline
  • Next.js dashboards over FastAPI services
  • Live delivery updates through logistics and messaging integrations

Infrastructure choices

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  • Docker-based development and deployment standards

Outcome

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