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CV Coach vs Picking & Packing app vs WhatsApp platforms

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) → Picking & Packing app (2025 – 2026)

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CV Coach ›

AI CV analysis, job matching and tailored applications

Picking & Packing app ›

A Kotlin warehouse app for fulfilment teams

WhatsApp platforms ›

Altur, Harambee and eButler on the WhatsApp Business API

At a glance

Role
Founder / Lead Engineer
When
2025 – present
Length
1 yr 9 mo so far
Status
MVP
Type
AI, Web
Role
Lead, Smart Kitchen Co
When
2025 – 2026
Length
1 yr
Status
Delivered
Type
Mobile
Role
Lead engineer, Mmogo Media
When
2018 – 2022
Length
4 yr
Status
Delivered
Type
Platform, AI

The problem

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.
An Android app that drives picking and packing for warehouse and fulfilment operations.
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.

What was built

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

  • FastAPI
  • Next.js
  • Supabase
  • LangGraph
  • LangChain
  • Celery
  • Kotlin
  • Android
  • Python
  • Django
  • WhatsApp Business API
  • Infobip
  • Twilio

Highlights

  • LangGraph workflow with custom tools to parse, compare evidence and score the match
  • Asynchronous analysis pipeline
  • Led architecture and development
  • Built in Kotlin for warehouse floor use
  • Conversational journeys on the WhatsApp Business API
  • Payments via Flash, Paystack and MTN MoMo

Infrastructure choices

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Outcome

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