Ravi Kumar

Founding Engineer

Bengaluru, Karnataka, India

Zoober

Connected trusted local businesses for quick deliveries and hassle-free bookings

• Architected Zoober from scratch (0→1) — mobile apps (Play Store/App Store), production-grade servers and cloud infrastructure. Deployed on AWS (EC2, ALB, NGINX, CloudFront, WAF, S3, SES) achieving 99.9% uptime across restaurant, salon, meat shop, grocery and fruit store segments near Gummanahalli and Kothanur, Bengaluru
• Designed Monolithic Express.js server, REST API with optimised MongoDB collections using 2dsphere geospatial indexes (aggregation pipeline) for <100ms radius-based store discovery under concurrent load and built a real-time WebSocket sync layer broadcasting order/rider position updates with automatic reconnection
• Architected Multiple Flutter apps ecosystem (Customer, Merchant, Rider, Admin, CRM, Notification Panel, etc) with BLoC state management, Adaptive + Responsive Server Driven UI and go_router deep linking across Android, iOS and Web. Windows/Web panels for handling high-level operations. Full release app cycles across the Play Store and App Store
• Implemented multi-segment order and booking flow covering restaurants, salons, grocery and meat shops — each with custom pricing, slot-booking and delivery logic; set up AWS SES transactional email pipeline and FCM push notification layer across Customer, Merchant and Rider apps for order lifecycle events and OTP delivery

Internal Tool: MCPVave

AI Engine — Cross-Platform (Mobile, Desktop and Web) MCP Client | Foundation for AI-Powered Commerce

• Built Model Context Protocol (MCP) engine enabling standardised AI/LLM-to-data communication via SSE/STDIO across 6 platforms (Android, iOS, Windows, macOS, Linux, Web)
• Developed internal packages: mcp_client (protocol implementation) and llm_shared (unified LLM provider interface for Claude, GPT, Gemini etc)
• Powered AI capabilities: intelligent inventory management, reports, demand forecasting, automated customer support, and smart ordering — an internal tool for making Zoober AI-powered

Founding Engineer

Bengaluru, Karnataka, India

Groceries Delivery in minutes

• Architected Node.js Express.js backend server processing a total of 80K+ orders with <200ms P95 latency; and a real-time WebSocket sync layer broadcasting order/rider position/CRM message exchange/alerts and updates with automatic reconnection. Deployed Cloud infrastructure on AWS/GCP with CI/CD pipelines
• Built a Multiple Flutter apps ecosystem (TingTing, Store, Delivery, Admin, CRM, Notification Panel, Control Panel etc) across Android, iOS and Web. Windows (Admin)/Web (CRM and Control Panel) panels for handling high-level operations & smooth monitoring
• Built Zoho Gofrugal ERP automated stock sync crons in Dart, deployed on GCP Cloud Run — syncing 35+ stores × 12K+/store products to keep physical inventory aligned with TingTing in real-time
• Integrated Google Maps, Firebase (messaging, analytics, crashlytics), Facebook app events, deep links, MP2 ONDC (on-demand rider provider) and payment gateways (Juspay, PhonePe, Razorpay, BillDesk) with webhook signature verification and idempotent order handling
• Designed order state machine (placed → accepted → dispatched → delivered) with timeout-based auto-cancellation, rider assignment logic and real-time CRM alert escalation for operations monitoring across 35+ stores

Software Engineer (Remote)

workrush.co.uk

• Built consumer-facing Flutter apps (Footbus, Livehappy and more) with BLoC state management and shipped 15+ releases across Play Store and App Store
• Developed backend systems (Node.js, PHP) and collaborated across time zones on API design, feature specifications, and production debugging
• Participated in technical spec writing, code reviews and release planning as part of a distributed UK–India cross-timezone team

Real-Time Monitoring Dashboard | Event-Driven Microservices Architecture

Python, FastAPI, Next.js 16, React 19, Kafka, PostgreSQL, Redis, Docker, OCI (Ampere A1)

• Architected 12-service event-driven system with Kafka-based data pipeline (KRaft mode, Snappy compression) processing live market data from Kite WebSocket API through 4-stage flow (data-ingestion → candle-builder → rsi-calculator → divergence-detector) with <50ms end-to-end latency
• Implemented incremental RSI calculation using Wilder's smoothing (avoiding 300+ candle recalculation per tick) and ZigZag peak/trough analysis for price/RSI divergence detection with Redis pub/sub broadcasting alerts to WebSocket clients and PostgreSQL time-series persistence
• Built multi-source news aggregation (Livemint, Moneycontrol, Financial Express) with keyword tagging (150+ terms), sentiment analysis, and 5-minute Redis caching for real-time financial news delivery
• Developed responsive frontend with Next.js 16 App Router, React 19, TypeScript, Tailwind CSS v4, SWR caching, and embedded TradingView charts for live market visualization

Offline-First Mobile App | Flutter + BLoC

• Built cross-platform Flutter app with offline-first architecture using Isolate-based multithreading for background data processing without blocking UI
• Implemented Hydrated BLoC with Hive persistence for offline-first state management, enabling full app functionality without network connectivity

Flutter Icon Libraries | Static + Animated | lucide-animated Ecosystem

• Publishing and maintaining two Flutter packages: flutter_lucide (1,666+ static icons) and flutter_lucide_animated (smooth Lottie-style animations) with tree-shaking optimization
• flutter_lucide_animated officially featured in pqoqubbw/icons — the lucide-animated ecosystem alongside Svelte, Vue, and Angular implementations

AI Image Generation Pipeline | E-commerce Product Visuals

TypeScript, Node.js, OpenAI API, Google Gemini, Nano Banana

• Built automated pipeline using OpenAI API for runtime prompt generation and Gemini Nano Banana model for high-quality realistic image generation
• Designed for e-commerce/website product showcase generation with optimized prompts for professional product photography