StyleSeat
Beauty & wellness marketplace · via Revelo
Booking2026
Senior Software Engineer · via Revelo
Context
StyleSeat is a marketplace where beauty and wellness professionals publish their availability and clients book directly. The booking flow is the centre of the product: if scheduling is hard, the professional loses income and the client goes elsewhere.
I joined through Revelo as a dedicated senior engineer, working embedded with their product and engineering teams rather than as an external vendor.
The challenge
The work moved on two fronts at once: keeping and refining the existing booking flows, and connecting the product to the tools the business uses to measure and talk to its users, without every integration turning into its own data silo.
What it does
- Professional availability and scheduling
- Client-facing booking flow (web and mobile)
- Lifecycle messaging and notifications
- Unified event tracking and customer data
- AI agent automation
What I did
- Established and optimized booking features for beauty professionals: availability and scheduling, reservation flows and the client-facing experience on web and mobile.
- Integrated Braze for lifecycle messaging and notifications, so user communication no longer depended on one-off sends from the backend.
- Integrated Segment as the event tracking layer, unifying user events across services so product and analytics read from the same source.
- Added AI agents to professional-facing workflows, automating repetitive work such as booking management and client communication.
- Worked across the stack on the services and interfaces behind the booking experience, with instrumentation and metrics guiding the improvements.
Stack
- Python
- DjangoCelerypytest
- Ruby on Rails
- ActiveRecordActiveJobSidekiqRSpec
- JavaScript
- ReactReact NativeTypeScript
- Data
- PostgreSQLRedis
- Product and user data
- BrazeSegment
- AI
- AI agentsLLM APIs
Services practised here
- Backend Architecture & APIsYour product ends up with a backend that survives growth: services with clear boundaries, documented APIs and a data model built for the queries that actually run.
- AI Integration & AutomationModels and agents go into the product you already have with the same discipline as any other service: a contract of your own, cost limits and a log of what they did.
Outcome
Two and a half years on the same product: the work moved from shipping features to sustaining and evolving the core of the business.
A messaging or analytics integration is not just another API: it defines what the business can measure and automate for the years that follow.