Hey There! I'm Ravi I build systems with |

Founded and leading an end-to-end product engineering company while remaining deeply hands-on in system architecture and implementation. Building production-grade systems across backend services, mobile applications, real-time pipelines, and infrastructure.

Core Engineering

• Architected reusable backend components including authentication, RBAC, and multi-tenant support using Node.js + MongoDB.
• Implemented real-time communication using WebSockets and Server-Sent Events (SSE) for production systems.
• Deployed and operated infrastructure on AWS (EC2, NGINX, Route 53, CloudFront, WAF, SES) and GCP Cloud Run.
• Built internal admin panels, analytics dashboards, and operational tooling.

Product: Zoober

Multi-Tenant Hyperlocal Commerce Platform | 30+ Store Segments | Full-Stack

• Architected complete e-commerce ecosystem from scratch: Customer app, Merchant dashboard, Rider app, and Admin panel — deployed on Android, iOS, and Web.
• Built Flutter apps with BLoC pattern, repository layer, Dio interceptors for token refresh, and go_router deep linking.
• Designed Express.js REST API with 23 Mongoose schemas, JWT authentication, bcrypt password hashing, and Winston logging for audit trails.
• Implemented geospatial store discovery using MongoDB 2dsphere indexes with $near queries for radius-based search.
• Built 7-stage order lifecycle (placed → confirmed → preparing → packed → assigned → out_for_delivery → delivered) with real-time WebSocket sync and OTP-verified handoffs.
• Integrated AWS S3 (Multer uploads), SES (transactional emails), Firebase Cloud Messaging (push notifications), Google Maps (autocomplete, geocoding, directions), and Vouch SMS API (OTP verification).
• Deployed on AWS EC2 with NGINX reverse proxy, Route 53 DNS, CloudFront CDN, ACM SSL, and WAF protection.

Internal Tool: MCPVave

AI Engine — Cross-Platform MCP Client Enabling AI Capabilities Across All Apps | Foundation for AI-Powered Commerce Features

• Built Model Context Protocol (MCP) engine enabling standardized communication between AI/LLM applications and data sources via SSE and STDIO transports across Android, iOS, Windows, macOS, Linux, and Web.
• Developed internal packages: mcp_client (protocol implementation) and llm_shared (unified LLM provider interface for multiple AI providers).
• Flutter app with BLoC architecture, hydrated_bloc for persistent state, go_router navigation, and gpt_markdown rendering.
• Powering AI capabilities: intelligent inventory management, demand forecasting, automated customer support, and smart order routing across Voltvave products.

TingTing set out to empower neighborhood grocery stores to operate like digital-first businesses. I led the complete technical execution — architecting, developing, and deploying a hyperlocal ecosystem that connected customers, stores, pickers, and delivery partners in real time.

Responsible for full-stack development, backend integration, and infrastructure management, ensuring the platform scaled smoothly across all operations and platforms.

Key Contributions

• Built and launched suite of connected apps: Customer, Store, Picker, Delivery for real-time operations.
• Developed Admin, CRM, Control Panels for analytics and automation.
• Created Price & Notification Panels for centralized offers and communication.
• Designed backend architecture (Node.js + MongoDB) for scalable, real-time data flow.
• Integrated Zoho Gofrugal ERP for automated stock, pricing, and product sync.
• Managed DevOps on AWS (EC2, Route 53, CloudFront, ACM, SES, NGINX) and migrated to GCP Cloud Run.
• Implemented WebSocket, payment gateways (Juspay, PhonePe, Razorpay), Firebase, Google Maps, and deep links.
• Managed end-to-end deployments across Android, iOS, Web, and internal Windows builds.

Contributed to building and scaling Footbus, Livehappy, and other consumer-focused digital platforms. Led full-cycle development in Flutter.

• Developed cross-platform apps with responsive, high-performance UI.
• Integrated REST APIs using Node.js and PHP.
• Managed release rollouts across Play Store and App Store.
• Collaborated on architecture, UX, and feature delivery in lean remote setup.