A collection of enterprise-scale projects showcasing expertise in cloud-native architecture, microservices, AI/ML integration, and modern software development practices.
Law Enforcement Analytics Platform
A comprehensive microservices-based analytics platform for law enforcement agencies, enabling real-time crime analysis, predictive policing, and resource optimization.
Migrating from monolithic legacy system while maintaining zero downtime and ensuring data integrity across millions of records
Implemented blue-green deployment strategy with gradual traffic migration, dual-write pattern for data consistency, and comprehensive rollback mechanisms
Reduced incident response time by 35%, improved resource allocation efficiency by 28%, and enabled real-time decision making for law enforcement operations
Laboratory Management System
Modernized legacy laboratory information management system to microservices architecture using Azure Functions and Blazor WASM.
Maintaining data integrity during migration from legacy system while ensuring zero downtime and compliance with regulatory requirements
Implemented dual-write pattern with validation and rollback mechanisms, gradual feature migration, and comprehensive testing strategy
Improved processing time by 45%, reduced manual errors by 60%, and enabled faster feature delivery with modern architecture
Built Retrieval-Augmented Generation (RAG) pipeline for enterprise documentation, enabling intelligent search and Q&A capabilities using LLMs.
Optimizing latency and cost for production use while maintaining high accuracy and handling large document collections
Implemented caching, prompt optimization, selective retrieval strategies, and hybrid search combining vector and keyword search
Reduced support ticket volume by 40%, improved employee productivity, and enabled self-service information access
Comprehensive medical solutions platform with role-based workflows, operational support, and secure patient data management.
Ensuring HIPAA compliance while maintaining system performance and providing excellent user experience
Implemented encryption at rest and in transit, comprehensive audit logging, role-based access controls, and performance optimization
Reduced administrative overhead by 30%, improved patient satisfaction scores, and enabled better care coordination
React-based customer portals backed by .NET microservices with automated CI/CD, serving thousands of customers with high availability.
Ensuring zero downtime during deployments and maintaining high availability across multiple tenants
Implemented blue-green deployments with automated health checks and rollback, comprehensive monitoring, and fault tolerance patterns
Achieved 99.95% uptime, reduced deployment-related incidents by 90%, and enabled faster feature delivery
Insurance domain platform delivering policy management, claims processing, and customer portal with high-performance UI and API integrations.
Handling high concurrent user load during peak claim filing periods while maintaining fast response times
Implemented database indexing, query optimization, caching strategies, and asynchronous processing for heavy operations
Improved page load times by 40%, increased customer satisfaction, and reduced call center volume
Developed a comprehensive framework and tooling for migrating monolithic applications to microservices architecture using Dapr.
Ensuring backward compatibility during migration while maintaining system functionality and minimizing risk
Implemented API gateway pattern with gradual service extraction, comprehensive testing, and rollback capabilities
Enabled faster time-to-market for new features, improved system scalability, and reduced technical debt
Built a real-time event-driven analytics platform processing millions of events daily with sub-second latency.
Handling event spikes and maintaining low latency while processing millions of events daily
Implemented auto-scaling, message batching, optimized processing pipelines, and efficient data storage strategies
Enabled real-time decision making, improved operational efficiency, and provided actionable insights from event data
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