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Picking & Packing app vs Joel Transport vs CV Coach
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: Joel Transport (Dec 2022 – May 2023) → Picking & Packing app (2025 – 2026) → CV Coach (2025 – present)
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Picking & Packing app ›
A Kotlin warehouse app for fulfilment teams
Joel Transport ›
Online booking platform on AWS
CV Coach ›
AI CV analysis, job matching and tailored applications
At a glance
- Role
- Lead, Smart Kitchen Co
- When
- 2025 – 2026
- Length
- 1 yr
- Status
- Delivered
- Type
- Mobile
- 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
The problem
An Android app that drives picking and packing for warehouse and fulfilment operations.
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.
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
- Kotlin
- Android
- Python
- AWS
- Paystack
- Sage
- Zoho
- FastAPI
- Next.js
- Supabase
- LangGraph
- LangChain
- Celery
Highlights
- Led architecture and development
- Built in Kotlin for warehouse floor use
- 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
Infrastructure choices
—
- AWS
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Outcome
—
Centralised the customer journey and key operational data, reduced manual hand-offs and established a documented AWS foundation for future development.
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