Technical Case Studies

Showcasing our expertise in developing innovative solutions for complex business challenges

Enterprise Customer Portal

Developed a secure customer portal for a Fortune 500 manufacturing company, allowing clients to manage orders, view analytics, and access support resources.

Client Challenge

  • Legacy system couldn't handle growing customer base and increasing data requirements
  • Poor mobile experience leading to customer frustration
  • Disconnected systems requiring manual data transfer between platforms

Solution Architecture

Frontend: React.js with Material UI
Backend: Node.js with Express
Database: MongoDB Atlas
Integration Points: REST APIs, Salesforce CRM, SAP ERP
Cloud Infrastructure: AWS (EC2, S3, CloudFront)

Key Technical Implementations

  • JWT-based authentication with role-based access control
  • Real-time dashboard using D3.js and Socket.io
  • Custom middleware for API request validation and rate limiting
  • Lazy-loading components achieving 2.3s initial load time
  • Progressive Web App support for offline functionality

Implementation Approach

Led a cross-functional team using Agile methodology. Served as lead architect and backend developer, managing 3 frontend developers and coordinating with the client's IT team.

Technical Challenges Overcome

Challenge 1
Complex data synchronization between CRM and ERP → Implemented event-driven architecture with message queue
Challenge 2
Authentication across multiple systems → Created federated identity solution with OAuth 2.0
Challenge 3
Handling large datasets in real-time → Implemented data streaming with Redis caching layer

Business Impact

  • 65% reduction in customer support tickets related to system issues
  • 40% increase in self-service order processing
  • Client reported 28% improvement in customer satisfaction scores
  • System scaled from 5,000 to 25,000 daily active users without performance degradation

Skills Demonstrated

Distributed Systems Architecture Full Stack Development API Gateway Design Cloud Infrastructure Management Performance Optimization Security Implementation

Healthcare Analytics Platform

Built a HIPAA-compliant analytics platform for a regional healthcare network, enabling data-driven decision making across 12 facilities.

Client Challenge

  • Siloed data across multiple healthcare facilities
  • Compliance requirements for PHI handling (HIPAA/HITECH)
  • Need for real-time insights for clinical decision support

Solution Architecture

Frontend: Angular with NgRx
Backend: .NET Core 6
Database: Azure SQL with Cosmos DB for unstructured data
Integration Points: HL7 FHIR interfaces, Epic EHR, various medical devices
Cloud Infrastructure: Azure (App Service, Functions, Logic Apps)

Key Technical Implementations

  • End-to-end encryption for PHI with Azure Key Vault
  • Advanced data visualization using Power BI embedded components
  • ML-based predictive analytics for patient readmission risk
  • Microservices architecture with Azure Service Bus
  • Comprehensive audit logging for compliance requirements

Implementation Approach

Utilized healthcare-specific agile framework with emphasis on compliance and security. Served as solution architect and backend lead, collaborating with data scientists and clinical SMEs.

Technical Challenges Overcome

Challenge 1
Standardizing heterogeneous health data → Implemented FHIR-based data normalization pipeline
Challenge 2
Real-time processing of high-volume sensor data → Built stream processing with Azure Event Hubs
Challenge 3
Maintaining HIPAA compliance → Developed comprehensive security controls and automated compliance checking

Business Impact

  • Identified $2.4M in potential cost savings through operational insights
  • Reduced average patient wait times by 31%
  • Improved resource allocation led to 18% increase in facility utilization
  • Early intervention system predicted and prevented 140+ potential adverse events

Skills Demonstrated

Healthcare Data Architecture Compliance-Focused Development Cloud Security Implementation Data Pipeline Engineering Business Intelligence Integration Machine Learning Operations