Hi, I'm Vijay Anand – a passionate GenAI Fullstack Software Engineer and AI & App Innovation Architect at Microsoft. 🚀
I specialize in building AI-driven applications that combine machine learning, cloud, and modern app development to solve real-world problems at scale.
- Designing and delivering custom AI solutions with Azure OpenAI, Azure AI Search, and Azure Machine Learning.
- Implementing RAG (Retrieval-Augmented Generation) and LLMOps pipelines for enterprise workloads.
- Working on end-to-end ML lifecycle: data prep → model training → deployment → monitoring.
- Exploring AI + Quantum computing for next-gen innovation.
Languages:
C# • Python • JavaScript • TypeScript
AI & ML:
Azure OpenAI • Azure AI Services • Azure Machine Learning • Semantic Kernel
Document Intelligence • RAG Architectures • Vector Databases (Redis, Cosmos DB)
Cloud & Platforms:
Microsoft Azure (Functions, AKS, App Services, Containers, Event-driven Architectures)
Databases:
SQL • Cosmos DB
Tools & DevOps:
Visual Studio • VS Code • SQL Management Studio
Azure DevOps • GitHub Actions
Terraform / ARM / Bicep
- Architect & deliver AI-powered enterprise applications on Azure.
- Build scalable ML & AI workflows with strong observability, security, and performance.
- Modernize legacy apps into cloud-native, AI-enhanced solutions.
- Mentor teams and customers on practical AI adoption.
- Advanced ML architectures for generative AI.
- AI data platforms using Redis + Cosmos DB + Azure AI.
- Bridging AI with Quantum computing for financial services and beyond.
⚡ Fun fact: I enjoy solving real-world puzzles with AI and helping the developer community adopt machine learning at scale!