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CV Coach 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
  • Both kinds of work: AI
  • Order: WhatsApp platforms (2018 – 2022) → CV Coach (2025 – present)

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CV Coach ›

AI CV analysis, job matching and tailored applications

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 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.
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
  • Python
  • Django
  • WhatsApp Business API
  • Infobip
  • Twilio

Highlights

  • LangGraph workflow with custom tools to parse, compare evidence and score the match
  • Asynchronous analysis pipeline
  • 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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