Clean Architecture E-Commerce API
Domain-driven REST API for product catalog, cart, and order management. ASP.NET Core 8, Clean Architecture, Repository pattern, EF Core, and JWT design.
ASP.NET CoreClean ArchitectureEF CoreC#JWTSQL Server
Hi, I'm
Amitesh Surwar Principal Software Engineer | .NET & Azure Specialist
Architecting scalable microservices and engineering enterprise-grade systems. I build high-performance, cloud-native applications using C#, .NET Core, Azure, and modern web technologies.
From designing backend architectures that process large-scale enterprise data to deploying APIs on Azure Service Fabric and optimizing SQL performance — I focus on clean architecture, scalability, and production reliability.
6+ years across fintech, enterprise analytics, and cloud platforms.
About Me
Backend & Full-Stack developer focused on scalable systems and clean architecture.
I'm Amitesh Surwar — currently working as a Backend developer in India, with a strong interest in Full-Stack and Backend roles. I work with a startup and use a broad tech stack day to day.
I focus on clean architecture, scalable microservices, and backend systems that handle large-scale data across fintech, enterprise analytics, and cloud platforms.
From API design and SQL optimization to Azure deployments — I aim for production reliability in every system I build.
Backend & APIs
.NET Framework, .NET Core, REST, OpenAPI
Databases
MSSql, MySQL, MongoDB, Redis
Languages & Frameworks
C#, Angular, React, TypeScript
Azure & Cloud
Azure, Service Fabric, Docker
Data & DevOps
Elastic Stack, CI/CD
Architecture
Clean Architecture, Microservices
Featured Work
T-Shaped Goals Generator
AI-powered goal generation and roadmap planning. Transform job responsibilities into actionable T-shaped development goals with learning paths.
ReactTypeScriptAIVite
Microservices Order Processing
Event-driven order flow with API Gateway (YARP), Order Service, and Product Service. Dockerized, database-per-service, designed for independent scaling.
ASP.NET CoreYARPDockerMicroservices
AI-Powered Goal Generator
LLM-integrated API for structured goal generation. Caching, Polly retry, prompt versioning, and rate limiting for cost control and resilience.
ASP.NET CoreGroq/OpenAIPollyIMemoryCache
Production DevOps Deployment
Minimal API with Docker multi-stage build, GitHub Actions CI, health checks, and environment configuration. Azure-ready deployment template.
ASP.NET CoreDockerGitHub ActionsHealth Checks
Latest Blog Posts
Securing MCP Servers Against Prompt Injection in .NET
Learn how to harden Model Context Protocol (MCP) servers against prompt injection and tool abuse with real‑world .NET patterns, sandboxing, and observability.
CAP Theorem Trade-Offs in .NET Microservices: Cosmos DB vs Redis
Explore deep architectural decisions behind CAP Theorem Trade-Offs in .NET Microservices, with real‑world case studies, patterns, and production checklists for balancing consistency and latency.
Handling Connection Pool Exhaustion in ASP.NET Core APIs
Learn practical timeout settings, retry backoff, and monitoring techniques for handling connection pool exhaustion in high‑traffic ASP.NET Core services.
Smart Goals vs T-Shaped Goals for Engineers: A Practical Comparison
A senior engineer sees that setting SMART goals sharpens focus on measurable milestones, while a T‑shaped skillset expands cross‑functional impact, balancing depth and breadth for faster delivery.
Implementing Multi‑Agent RAG with Azure Functions and Redis Cache
Explore a production‑grade pattern for Implementing Multi‑Agent RAG using Semantic Kernel and Azure AI Foundry, tackling latency, security, and observability in real‑time customer support.
Scalable Video Streaming Architecture: Micro‑services vs Monolith
Learn how to build a production‑grade, scalable video streaming architecture using microservices, CDNs, and analytics—optimized for latency, cost, and reliability.
Deploying Multi‑Agent RAG: Handling Latency Tail in Production
Learn how to architect, secure, and scale Deploying Multi‑Agent RAG workflows with Semantic Kernel on Azure AI Foundry—complete with code, observability, and production‑ready checklists.
Deploying Agentic Workloads: Debugging 200‑RPS Outages in AKS
Learn how senior engineers can reliably deploy agentic AI workloads on Azure AI Foundry using Kubernetes, with concrete architecture, code, cost, and failure‑mode guidance.
MCP Server Architecture: Managing Tenant Context & Token Budgets
Explore the anatomy of MCP server architecture, from Model Context Protocol fundamentals to .NET tooling, Azure integration, and production‑grade prompt engineering.
Cutting Inference Costs: kv-cache and batching for inference serving in .NET
Learn how .NET teams can slash LLM inference spend with KV‑cache tricks and smart batching. Real‑world code, Azure OpenAI tips, and production‑ready patterns.
Get In Touch
I'm always open to discussing new opportunities, interesting projects, or just chatting about technology. Feel free to reach out!
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