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Enterprise Client

Enterprise AI Modernisation

Led the technical transformation of a legacy enterprise application into a modern, AI-augmented microservices architecture, enabling intelligent automation and scalable processing.

Monolith → Microservices
Architecture
5x faster
Processing Speed
60%
Manual Work Reduced

The Challenge

A critical enterprise application was running on a decade-old monolithic architecture, making it impossible to scale, difficult to maintain, and unable to leverage modern AI capabilities for automated processing.

My Approach

Designed a phased migration strategy, decomposing the monolith into domain-driven microservices. Integrated LangChain for intelligent document processing and automated decision-making. Built a modern Next.js frontend with NestJS backend services orchestrated via Kubernetes.

Tech Stack

LangChainNext.jsNestJSKubernetesDockerTypeScript

Key Outcomes

  • Successfully migrated monolith to 8+ independent microservices
  • Achieved 5x improvement in data processing speed
  • Reduced manual processing workload by 60% through AI automation
  • Established CI/CD pipelines for zero-downtime deployments on Kubernetes

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