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CV Coach vs Picking & Packing app vs OrderEase
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: CV Coach (2025 – present) → Picking & Packing app (2025 – 2026) → OrderEase (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
OrderEase ›
Branded online ordering for restaurants and retailers
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
- Technical lead, Smart Kitchen Co
- When
- 2025 – 2026
- Length
- 1 yr
- Status
- Live
- Type
- Web, Platform
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.
Direct ordering and order management: menus, orders, payments and fulfilment, with automated order intake and status updates that cut merchants' operational overhead.
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
- Next.js
- FastAPI
- PostgreSQL
- Redis
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
- Fast, responsive ordering on Next.js
- FastAPI services for menus, orders, payments and fulfilment
Infrastructure choices
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Outcome
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