Innovative Software Engineer specializing in end-to-end development, from scalable backend architectures to modern frontend solutions, with expertise in AI/ML and cloud technologies. Currently driving digital transformation at Hexaware Technologies, building cutting-edge systems that leverage both traditional and generative AI approaches.

• Core: Node.js, Express.js, TypeScript, MVC, Distributed Systems
• Microservices: Docker, Kubernetes, API Gateway
• Real-Time: WebSockets, WebRTC, Colyseus.js, Socket.io, LiveKit.io
• Databases: MongoDB, MySQL, Redis, Neo4j, Postgres, Microsoft SQL Server
• Infrastructure Management:
  • Cloud Platforms: Azure (Expert), AWS, GCP
  • Orchestration: Kubernetes, AKS, Docker Swarm
  • Scaling: Auto-scaling groups, Load balancers, CDN
  • Monitoring: Azure Monitor, Application Insights, Prometheus, Grafana
  • Security: Azure Key Vault, Managed Identities, Network Security Groups
  • IaC: Terraform, Azure ARM templates, Bicep
  • CI/CD: Azure DevOps, GitHub Actions, Jenkins
  • Cost Management: Resource optimization, Azure Cost Management tools

• Frameworks: Vue.js, React, Next.js, Svelte
• UI Libraries: Vuetify, Tailwind CSS, Material-UI
• 3D & Animation: Three.js, React Three Fiber, GSAP
• State Management: Vuex, Pinia, Redux

• GenAI Development: LangChain, LlamaIndex
• RAG Systems: Ollama, Vector Databases
• AI Apps: Streamlit, Gradio
• MLOps: Azure ML, MLflow

• Developed responsive, high-performance Vue.js applications with SSR capabilities
• Architected end-to-end AI-powered solutions using Azure Cognitive Services
• Implemented RAG systems for enhanced document processing and query handling
• Scaled MMOG architecture to support 1000+ concurrent clients
• Improved system performance by 25% using microservices architecture

1. Enterprise Dashboard Suite

   • Vue.js frontend with Vuex state management
   • Nuxt.js for SSR and optimal performance
   • Custom UI components using Vuetify
   • Real-time data visualization

2. AI-Powered Document Analysis Platform

   • RAG implementation using LangChain and Azure OpenAI
   • Vector search with Pinecone
   • Vue.js + Streamlit hybrid frontend
   • Handles multi-format document processing

3. Spatial Computing Platform

   • Real-time multiplayer system using Colyseus.js
   • Vue.js-based control dashboard
   • Custom load balancing with HAProxy
   • Redis for session management

4. Enterprise GenAI Solution

   • Ollama integration for on-premise LLM deployment
   • Custom-trained models for domain-specific tasks
   • Azure cognitive search for enhanced RAG capabilities
   • MLOps pipeline for continuous model improvement

• Compute: VM Scale Sets, Container Instances, App Service
• Networking: Virtual Networks, Load Balancers, Application Gateway
• Storage: Blob Storage, Managed Disks, Azure Files
• AI/ML: Cognitive Services, Azure OpenAI, Azure ML

Frontend: Vue.js, Nuxt.js, React, Next.js, Svelte, Three.js, GSAP
UI: Vuetify, Tailwind CSS, Material-UI
State: Vuex, Pinia, Redux, Zustand
Backend: Node.js, Express, GraphQL
AI/ML: LangChain, Ollama, Streamlit, Azure OpenAI
Cloud & DevOps: Azure (AKS, ACS, Functions), Terraform
Databases: MongoDB, MySQL, Redis, Neo4j, Vector DBs
Testing: Jest, Vue Test Utils, Cypress

• Azure AI Engineer Associate (AI-102)
• Azure DevOps Engineer Expert (AZ-400)
• Azure Solutions Architect Expert (AZ-305)
• Vue.js Core Contributor
• Contributed to open-source AI projects and documentation

• Building scalable enterprise applications with Vue.js 3 and Composition API
• Exploring advanced RAG techniques for enterprise applications
• Developing AI-powered spatial computing solutions
• Contributing to open-source LLM projects
• Creating educational content on AI/ML best practices

💬 Open to collaborations on innovative projects, especially in AI and cloud-native solutions!