BusyBody.io helps busy professionals build consistent fitness habits through AI-driven workout plans, habit tracking, and confidence-building programs. I was brought in to take the concept from a validated MVP to a scalable, production-ready SaaS platform handling everything from architecture, UX, integrations, analytics, and deployment.

AreaMVP IssuesProduction GoalsPerformanceSlow load, unoptimised queries, limited cachingSub-2s load time, global CDN deliveryUser FlowDisconnected screens, confusing onboardingUnified UX with progressive onboardingDesign SystemNo consistent componentsFully reusable UI kit & brand-aligned visualsScalabilityFirebase free-tier bottlenecksMulti-environment CI/CD with auto scalingData & AnalyticsLimited user trackingFull funnel analytics with Mixpanel/GAPaymentsManual upgradesAutomated Stripe billing, subscription managementSecurityBasic authRole-based access control, secure data storage

1. Discovery & MVP Audit

Conducted an end-to-end audit of MVP performance, UX, and tech debt.

Mapped user journey to identify friction points.

Defined success KPIs (activation, retention, conversion).

2. Architecture & Infrastructure

Refactored backend into modular microservices (or cleaned monolith) for maintainability.

Integrated CI/CD pipeline (GitHub Actions + Vercel).

Added error monitoring via Sentry and performance analytics via LogRocket.

Implemented environment management (dev/staging/prod).

3. UX & Design System

Created a scalable design system (buttons, typography, color palette, forms, modals).

Designed responsive layout for web + mobile (Tailwind + Figma prototypes).

Implemented onboarding wizard, AI-plan generator flow, and dashboard UX.

4. Feature Implementation

AI-driven workout recommendation system using OpenAI API / ML logic.

Habit & goal tracker synced with user profile.

Blog + CMS for content marketing (via Sanity / Strapi / custom).

Payment integration: Stripe subscriptions with automated trials & cancellation logic.

Admin panel for analytics and content management.

5. Testing & Optimization

Wrote unit/integration tests for core modules (Jest).

Load tested endpoints to handle 10x user traffic.

Optimised images, caching, and lazy loading to reduce page weight by 35%.

Implemented SEO and OG tags for better discoverability.

6. Launch & Analytics

Deployed to production with automated rollback safety.

Set up Mixpanel funnel: Landing → Signup → First Plan → Active User.

Post-launch: Collected feedback via Hotjar + user surveys for continuous improvement.

AI-generated fitness plan engine — adapts to user input (goals, time, equipment).

Gamified progress tracker — badges, streaks, motivational prompts.

Personalised onboarding — fast setup (avg time reduced from 3 min → 45 s).

Subscription billing system — integrated Stripe + webhooks.

Admin analytics dashboard — real-time user and revenue tracking.

SEO-optimised blog — “90K+ readers” now engage with health content.

Frontend: React Native Backend: Node.js, Express, Firebase, PostgreSQL AI Layer: OpenAI API (GPT-based recommendations) Infra: Vercel, AWS Payments: Stripe Analytics: Google Analytics CI/CD: GitHub Actions, Vercel deployments