I am an Enterprise Cloud & Generative AI Solution Architect with over 17 years of experience building secure, multi-tenant B2B SaaS platforms and data engineering pipelines.
I specialize in Tenant-Isolated Generative AI architectures, helping enterprises leverage the power of LLMs directly inside their native cloud ecosystem without risking data leaks.
- AI & Agentic Orchestration: Python, Node, Semantic Kernel (.NET), Azure OpenAI, Azure AI Foundry, LangChain, LangGraph
- Vector Storage & Search: Azure AI Search, PostgreSQL (
pgvector), Azure Cosmos DB - Backend Ecosystem: .NET 8 / C# Core, ASP.NET Web API, Node.js, Express, Microservices
- Frontend Development: React.js, Next.js, Redux, Modern JavaScript/TypeScript
- Data Engineering: Microsoft Fabric, Fabric Lakehouses, PySpark, Azure Data Factory, Azure SQL Server
- DevOps & Cloud Infra: Microsoft Azure, Pulumi (Infrastructure as Code), GitHub Actions, Docker
A reference architecture for a multi-tenant knowledge retrieval platform. Built with .NET 8 and Semantic Kernel, it demonstrates strict document metadata filtering via Azure AI Search and pgvector to guarantee total data isolation across enterprise clients.
A production-ready starter template for orchestrating native C# AI agents. Includes concrete examples of structured JSON outputs, native plugin tool-calling (connecting LLMs to SQL databases), and systemic conversational memory management.
Automated multi-layer (Bronze โ Silver โ Gold) data ingestion templates optimized for Microsoft Fabric. Features highly parallelized PySpark transformations designed to flatten and optimize nested relational data footprints for real-time analytics.
- LinkedIn: ://linkedin.com](https://www.linkedin.com/in/skabhishek/)
- Email: as.abhishek@gmail.com