An interview preparation and resume building Android product, taken from first idea to public release under full personal ownership.
Role
Product owner · Designer · Engineer
Platform
Android
Status
Shipped
Stack
Flutter · Firebase · AI APIs
Model
Freemium + subscription
Fig. 01 / Product flowShipped on Android
01User goal
02Practice
03AI assist
04Resume
05Release
01Context
Preparation should feel structured, not scattered.
Soma AI brings interview practice and resume building into a single mobile product, using AI where it genuinely helps the user rather than as decoration.
Because the project was solo, every layer was a personal decision: what the product should be, how the interface should feel, how the backend should be organised, where AI belongs, and how access should be priced.
02Ownership
One product, every layer considered.
01
Product direction
Defined the core use cases and the decisions needed to reach a releasable Android experience.
02
Interface system
Owned UI and UX so practice and resume workflows felt like one coherent product.
03
System structure
Directed app architecture and Firebase-backed structure with maintainability as a constraint.
04
Business model
Treated freemium access and subscription monetization as part of the engineering design.
03System
A clear path from intent to output.
Choose a preparation goal
Provide relevant context
Run the AI-assisted workflow
Review and refine the output
Continue inside the product
Evidence note: this case study documents verified scope and ownership. Store analytics, install counts, screenshots and a verified Play Store URL were not available, so none are claimed here.
04Takeaway
Engineering beyond implementation.
Soma AI is the clearest evidence of end-to-end ownership: user experience, architecture, AI integration, backend structure, release process and monetization held together by one person.