Building on Google Cloud: Our AI Platform Roadmap

AI Resume Builder v1.0 is a static site—all data lives in your browser, processed client-side. That’s intentional. Privacy-first architecture means your resume never leaves your device.

But users are asking for features that require cloud infrastructure:

User accounts with persistent storage
Cross-device sync to access resumes anywhere
Team collaboration for recruitment agencies
Enterprise API for HR platform integrations

We’re building these features on Google Cloud Platform. Here’s why—and how.

Why Google Cloud?

Three reasons:

Vertex AI offers the best integration for multi-agent AI workflows. Our roadmap includes specialized agents for resume writing, formatting optimization, and job matching. Vertex AI’s agent building capabilities, combined with Gemini models, provide the foundation we need.
Global infrastructure matters for a career tool. Job seekers are everywhere. Cloud CDN and regional deployments ensure low latency regardless of location.
Identity Platform handles the complexity of enterprise authentication. SAML, OIDC, social login—all managed, so we can focus on product.

Architecture Overview

┌─────────────────────────────────────────────────────────────┐
│                      Cloud CDN                               │
└─────────────────────────────────────────────────────────────┘
                              │
┌─────────────────────────────────────────────────────────────┐
│                   Cloud Load Balancing                       │
└─────────────────────────────────────────────────────────────┘
                              │
        ┌─────────────────────┴─────────────────────┐
        │                                           │
┌───────────────┐                         ┌─────────────────┐
│  Cloud Run    │                         │      GKE        │
│  (API Layer)  │                         │  (AI Workloads) │
└───────────────┘                         └─────────────────┘
        │                                           │
        └─────────────────────┬─────────────────────┘
                              │
┌─────────────────────────────────────────────────────────────┐
│                       Firestore                              │
│              (User Data, Resume Documents)                   │
└─────────────────────────────────────────────────────────────┘
                              │
┌─────────────────────────────────────────────────────────────┐
│                      Vertex AI                               │
│        (Gemini, Custom Models, Agent Builder)                │
└─────────────────────────────────────────────────────────────┘

Phase 2: Cloud-Native Platform (Q1 2026)

In Progress

User Authentication

Google Identity Platform handles:

OAuth 2.0 with Google, GitHub, LinkedIn
Email/password authentication
Enterprise SSO (SAML 2.0, OIDC)
MFA and security policies

Persistent Storage

Firestore provides:

Real-time document database
Offline support with automatic sync
Granular security rules
Automatic scaling

Infrastructure

Cloud Run for stateless API endpoints
GKE reserved for AI inference workloads
Cloud Storage for resume exports and backups
Cloud CDN for global static asset delivery

Phase 3: Multi-Agent AI Workflows (Q2 2026)

This is where it gets interesting.

Specialized Agents

Writing Agent Generates accomplishment statements with metrics. Takes raw experience descriptions and transforms them into impact-driven bullet points.

Formatting Agent Optimizes layout for ATS parsing. Ensures consistent formatting, proper section ordering, and keyword density.

Research Agent Analyzes job descriptions and company culture. Identifies key requirements, skills gaps, and customization opportunities.

Review Agent Provides feedback and improvement suggestions. Catches inconsistencies, weak verbs, and missing context.

Agentic Architecture on Vertex AI

Using Vertex AI Agent Builder:

Multi-agent orchestration with defined workflows
Human-in-the-loop approval for generated content
Context-aware suggestions based on career history
Long-term memory for personalized recommendations

Google Cloud AI Services

Capability	Service
LLM Generation	Gemini Pro / Gemini Ultra
Document Understanding	Document AI
Semantic Analysis	Natural Language API
Custom Models	Vertex AI Training
Agent Orchestration	Vertex AI Agent Builder

Phase 4: Enterprise & API (Q3 2026)

B2B API Platform

REST API for ATS and HR platform integration
Webhook events for application tracking
White-label deployment options
Usage-based pricing tiers

MediaPipe Integration

AI-powered headshot enhancement
Video resume recording
Background removal
Professional lighting correction

Current Status

We’re actively developing Phase 2. The infrastructure is provisioned, authentication is working in staging, and we’re iterating on the Firestore data model.

The v1.0 static site continues to serve users who prioritize privacy—that won’t change. The cloud platform adds capabilities for users who want persistence and collaboration.

Join the Journey

Try the current version: ismail.kattakath.com/resume/builder
Watch our progress: github.com/ismail-kattakath/jsonresume-to-everything
Enterprise early access: Contact us

Building AI products on GCP? I’d love to hear about your architecture. Get in touch.