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BI Bridge — Government Decision Support System

Worked on the design and development of an AI-driven Decision Support System (DSS) for a government client, delivering microservices, data visualization, and predictive analytics. The platform combined .NET, Python, and Kubernetes into a cloud-native architecture, with React and Angular dashboards for stakeholders. I also served as Scrum Master for the delivery team, running planning, retrospectives, and cross-team coordination.

Project Details

Role
Full-Stack Developer & Scrum Master
Timeline
March 2019 – August 2021
Tech Stack
.NET
Python
Go
MongoDB
Elasticsearch
Redis
RabbitMQ
PostgreSQL
React
Angular
Kubernetes
Docker
Jenkins
AI/ML
BI Bridge — Government Decision Support System

Key Features

  • Machine-learning-assisted decision support for government stakeholders
  • Predictive analytics and data visualization dashboards
  • Microservices architecture for scalability
  • Dynamic dashboards with real-time data views
  • Scenario-based strategic planning tools
  • Scrum Master responsibilities: sprint planning, retrospectives, and delivery coordination

Challenges

  • Integrating multiple data sources in real-time for decision making
  • Meeting security and compliance requirements for sensitive government data
  • Scaling the system as data volume grew
  • Balancing technical complexity with user-friendly interfaces

Solutions

  • Event-driven architecture for real-time data processing
  • Strict access controls and encryption
  • Kubernetes for horizontal scaling and load balancing
  • Intuitive dashboards built with React and Angular
  • Jenkins-based CI/CD pipeline for multi-service deployments

Project Gallery

Insights dashboard with real-time analytics
Insights dashboard with real-time analytics
Microservices architecture powering the BI Bridge DSS
Microservices architecture powering the BI Bridge DSS
Predictive analytics module
Predictive analytics module