Imran Anwar Basha

Architected and deployed scalable AI platforms using Python, Java (Spring Boot), and Node.js, integrating LLMs into enterprise engineering workflows for automated decision-making, intelligent code generation, and knowledge retrieval.

• Built production-grade RAG systems leveraging LangChain, LlamaIndex, and vector databases, exposed via RESTful APIs using FastAPI, Spring Boot, and Node.js (Express/NestJS) to deliver accurate, context-aware AI responses at scale.

• Designed and implemented robust LLM evaluation pipelines using RAGAS and LLM-as-Judge/Jury frameworks, ensuring high standards of faithfulness, relevance, and minimal hallucination before production deployment.

• Developed and orchestrated agentic AI workflows across distributed systems, enabling AI-assisted coding, automated test generation, and workflow optimization integrated into backend services (Spring Boot microservices, Node.js services).

• Built interactive React-based AI interfaces to visualize LLM outputs, RAG insights, and analytics, seamlessly consuming APIs from Python, Java, and Node.js backends.

• Enforced enterprise-grade security and compliance using Azure Key Vault, secure API gateways, token-based authentication (JWT/OAuth2), and controlled data/prompt handling across multi-language services.

• Designed and managed cloud-native DevOps pipelines on Azure, automating CI/CD for Python, Spring Boot, and Node.js applications using Docker, Kubernetes, and Azure DevOps for scalable and resilient deployments.

• Led architecture and delivery of data-intensive React platforms integrated with real-time
APIs and AI-driven insights.
• Designed scalable frontend systems using TypeScript and reusable component libraries
across 7+ enterprise projects.
• Built AI-assisted visualization tools and real-time dashboards using WebSocket, ChartJS, and
HighCharts.
• Collaborated cross-functionally with backend and product teams to integrate intelligent
automation and analytics features.
• Mentored engineers on clean code practices, system design, and AI-assisted development
workflows.

• Developed secure cross-platform applications using React, Angular, and Python-based APIs.
• Implemented OAuth2 and JWT authentication for sensitive transactional systems.
• Integrated Firebase Cloud Messaging (FCM) for real-time notifications and engagement
optimization.
• Optimized application performance through lazy loading and scalable API design.

• Contributed to frontend and API architecture for financial platforms handling high
frequency data.
• Built real-time market data dashboards using Angular with WebSockets for stock market
applications.