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Cover image for Conceptual architecture of an enterprise
Conceptual architecture of an enterprise public-safety backend platform built around secure, scalable, event-driven microservices. The architecture illustrates the flow from client applications and devices through the API and security layers into Java/Spring Boot microservices, with Keycloak handling authentication, authorization, and token-based security. Core backend services include Client Activation, OIDC XCAP, Core Management, CAT, Subscriber Management, Communication, Notification, and Integration services, with RabbitMQ supporting asynchronous event-driven communication and XDM providing centralized data-management capabilities. The platform also integrates notification channels and external systems while supporting reliable backend responses, integrations, data synchronization, and distributed service workflows. Technologies: Java, Spring Boot, Microservices, REST APIs, Keycloak, RabbitMQ, XDM, Docker, Git, SQL and distributed backend systems.
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Cover image for AI Document Intelligence & Invoice
AI Document Intelligence & Invoice Processing Platform Description Built an AI-powered document intelligence platform designed to automate invoice processing, document classification, data extraction, and approval workflows. The system uses AI, OCR, and workflow automation to process business documents automatically, eliminating manual data entry and reducing processing delays across finance and operations teams. By integrating with existing databases and business systems, the platform transforms unstructured documents into actionable business data. Key Features • AI-powered document analysis • Invoice data extraction • OCR-based document processing • Automated approval workflows • Purchase order matching • Vendor management integration • Document classification • Data validation system • Real-time processing dashboard • Automated reporting and audit trails Business Impact ✓ Reduced manual data entry ✓ Faster invoice processing ✓ Reduced processing errors ✓ Improved financial visibility ✓ Faster approval cycles ✓ Reduced operational costs ✓ Increased productivity across teams Technology Stack • Java • Spring Boot • PostgreSQL • OpenAI API • OCR Processing • REST APIs • Workflow Automation • Analytics Dashboard Results • Automated document processing workflows • Reduced invoice processing time by approximately 75% • Improved data accuracy • Reduced manual administrative effort • Accelerated approval and payment cycles This solution demonstrates how AI-powered document intelligence can automate finance and operational processes while improving accuracy, compliance, and efficiency.
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Cover image for 90M registered users · 17
90M registered users · 17 countries · 99.99% uptime · $451M disbursed via DBT Led Everwell Hub from a monolith to a horizontally scalable microservices platform (Java/Python, Docker/Kubernetes, GCP, CI/CD, IaC). As chief architect I personally designed the service decomposition; as CTO I led ~50 engineers plus system-integrator partners and the WHO/Ministry of Health partnership. Deployed across 17 countries and scaled India's national TB platform (Ni-kshay) to ~90M registered patients and staff, with 6 lakh+ direct users, at 99.99% uptime, sub-second P95 latency, and 2h RTO / 4h RPO disaster recovery. The payments module disbursed $451M through direct benefit transfers. Released the platform as MIT open source with full wiki, runbooks, and API contracts — adopted by partner health systems since.
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