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Collaborative engineering contributionLeading backend contributor

Digital Twin

Product and backend engineering

A public product and focused backend engineering contribution connecting decision-ready views with profile, plan, notification, wearable-data, and recommendation workflows.

Case brief

The product, the pressure, and the response.

01

Overview

The case study covers implemented software responsibilities only. It does not claim clinical outcomes, diagnostic capability, or medical advice, and it does not publish private implementation or operating details.

02

Context

The product needed a backend that could coordinate request-response APIs with scheduled and background work while keeping profile, plan, notification, and wearable-data responsibilities understandable.

03

Solution

Node.js and Express services use PostgreSQL for application data, with Redis and BullMQ supporting background jobs. Service boundaries cover profiles, diet and exercise plans, notifications, Fitbit processing, and meal and exercise recommendation workflows.

Exact role

Leading backend contributor

Backend services for profiles, diet and exercise plans, notifications, Fitbit workers, and meal and exercise recommendation workflows.

01

Profile services

Create and maintain application profile data used by the product workflows.

02

Diet and exercise plans

Support plan creation and retrieval through dedicated backend services.

03

Notification workflows

Coordinate scheduled and event-driven notifications outside the main user request path.

04

Fitbit workers

Process wearable-data synchronization through background jobs.

05

Recommendation services

Provide meal and exercise recommendation workflows as application features, not medical advice.

Delivery approach

Built in reviewable steps.

  1. 01

    Define service boundaries

    Separate profiles, plans, notifications, wearable processing, and recommendations into maintainable backend responsibilities.

  2. 02

    Build the API layer

    Use Node.js and Express to expose the application workflows and coordinate PostgreSQL persistence.

  3. 03

    Move background work off-request

    Use BullMQ and Redis for jobs such as Fitbit synchronization and notification processing.

  4. 04

    Constrain the public account

    Describe the verified engineering contribution without publishing private code or making medical claims.

Verified outcomes

Evidence, with its limits visible.

Implementedprofile and plan service domains
BackgroundFitbit and notification job processing
Service-basedmeal and exercise recommendation workflows
Technology
Node.jsExpressPostgreSQLBullMQRedis
Current status

Public product and contribution summary. Private implementation details and unsupported health claims are intentionally excluded.

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