shiv kumar
Senior Full Stack AI Engineer with 15+ years designing, building, and delivering enterprise-grade applications across banking and government sectors, combining strong full-stack engineering with practical, production…
About
Senior Full Stack AI Engineer with 15+ years designing, building, and delivering enterprise-grade applications across banking and
government sectors, combining strong full-stack engineering with practical, production Generative AI capabilities. Hands-on technical
leader and AI Orchestrator experienced in architecting scalable React/Node.js microservices, building Retrieval-Augmented Generation
(RAG) and vector-based knowledge systems on Databricks, integrating Large Language Models (AWS Bedrock, LLM APIs) into live
enterprise workflows, and building multi-agent automation pipelines (MCP , n8n) that have cut operational overhead by up to 90%.
Proven record leading engineering teams of up to 8 through complex modernization and AI-adoption initiatives at Standard Chartered
Bank, the Monetary Authority of Singapore, and Singapore’s Government Technology Agency — while holding the line on engineering
rigor (TDD, CI/CD, observability, secure architecture).
- 14 years' experience
- Joined July 2026
Industry experience
- Financial Services
- Government
- Software & Internet
- Professional Services
Work experience· 15 roles
Architected CRM x, a high-performance CRM platform delivering real-time analytics and relationship management to 1,000+ users. Built responsive web and mobile interfaces using React, React Native, and TypeScript, improving staff efficiency by 40%. Engineered real-time state synchronization for 50+ concurrent users using Zustand and React Query. Integrated AI-driven features via prompt engineering and workflow automation to enhance client insights. Built a GenAI chatbot using RAG on Databricks with MLflow for model tracking/lifecycle management. Developed AI agent workflows using MCP and GitHub Copilot (Claude, GPT, Qwen) to accelerate engineering delivery. Ensured engineering rigor with TDD, CI/CD, observability, and secure architecture.
Led development and architecture of CRMx for corporate and institutional banking, delivering real-time analytics and relationship management for 1,000+ users. Built responsive web and mobile interfaces using React/React Native/TypeScript, improved staff efficiency by 40%, and engineered real-time state synchronization for 50+ concurrent users with Zustand and React Query. Integrated AI-driven features using prompt engineering and workflow automation, built a GenAI chatbot using RAG on Databricks with MLflow for model tracking and lifecycle management, and developed AI agent workflows using MCP leveraging GitHub Copilot (Claude, GPT, Qwen) to accelerate delivery. Ensured engineering rigor aligned to TDD, CI/CD, observability, and secure architecture.
Designed and deployed an AI-powered infrastructure monitoring platform with integrated generative AI for automated reporting; led a team of 3 engineers. Integrated a generative AI chatbot using AWS Bedrock to cut reporting time by 90%. Architected a centralized React/Node.js monitoring dashboard providing real-time infrastructure visibility to 500+ stakeholders. Deployed ELK pipelines for log aggregation and metric ingestion, implemented voice agent orchestration for intelligent notifications and natural-language queries, established automated CI/CD with CloudBees, and mentored the team on AI integration and modern cloud architecture practices.
Education
Certifications and awards
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