Compare
Joel Transport vs CV Coach vs Picking & Packing app
The problem, what was built, the stack and the outcome, next to each other.
Clear · Up to 3 at a time
In common
- Shared stack: none in common
- Order: Joel Transport (Dec 2022 – May 2023) → CV Coach (2025 – present) → Picking & Packing app (2025 – 2026)
Swipe sideways to compare ›
Joel Transport ›
Online booking platform on AWS
CV Coach ›
AI CV analysis, job matching and tailored applications
Picking & Packing app ›
A Kotlin warehouse app for fulfilment teams
At a glance
- Role
- Lead Engineer
- When
- Dec 2022 – May 2023
- Length
- 6 mo
- Status
- Live
- Type
- Web, Platform
- 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
The problem
Centralised the customer journey and operational data, reduced manual hand-offs and set up a documented AWS foundation.
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.
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.
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.
—
Stack
- Python
- AWS
- Paystack
- Sage
- Zoho
- FastAPI
- Next.js
- Supabase
- LangGraph
- LangChain
- Celery
- Kotlin
- Android
Highlights
- Python APIs and AWS deployment architecture
- Paystack, Sage Accounting, Zoho Bigin and Zoho SalesIQ integrations
- 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
Infrastructure choices
- AWS
—
—
Outcome
Centralised the customer journey and key operational data, reduced manual hand-offs and established a documented AWS foundation for future development.
—
—