Elango S.

I help software product companies and startup founders design scalable backend architectures, untangle complex technical debt, and securely integrate AI/LLM capabilities into production enterprise applications. With 24+ years of software engineering and architecture experience, I bridge the gap between traditional enterprise systems (.NET/Azure) and modern AI applications. I partner with technical leadership to evaluate systems, define technology strategy, and build distributed cloud applications—acting as both an architectural advisor and a hands-on technical problem solver when the situation requires it. How I Can Help You: AI/LLM Application Architecture & Integration: I design the architecture required to bring AI features to enterprise applications. This includes securely connecting your system to commercial LLMs (Anthropic Claude, Azure AI), implementing Intelligent Document Processing (IDP), managing deterministic JSON schema guardrails, and handling multimodal data extraction. .NET & Azure Cloud Architecture: End-to-end solution design for scalable, highly available distributed systems, modular monoliths, and microservices using C#, .NET 8/10, and the Microsoft Azure ecosystem. High-Throughput Distributed Systems: I have architected cloud-agnostic telemetry and ingestion engines capable of processing 20M+ records per hour using tools like RabbitMQ, MQTT, and NoSQL databases. Architecture Reviews & Modernization: I conduct technical audits of existing codebases to identify performance bottlenecks and technical debt, providing actionable modernization roadmaps. My Approach: I am an architect who still codes. While my primary value is in strategy, design, and technical oversight, I selectively dive into hands-on implementation to build proof-of-concepts, establish architectural patterns, or solve the hardest technical challenges on a project. I do not compete as a commodity developer; I deliver high-leverage technical leadership. Core Technology Stack & Credentials: Architecture: Microservices, Event-Driven Architecture, Domain-Driven Design (DDD), Clean Architecture, CQRS, GraphQL/gRPC. AI/LLM: LLM API Orchestration, Prompt Architecture, RAG, Token Optimization. Backend & Cloud: C#, .NET Core, Web API, Azure (App Services, Functions, Service Bus, Blob Storage, SQL), PostgreSQL. Microsoft Certified: Azure AI Engineer Associate (AI-102), Azure DevOps Engineer Expert (AZ-400), Azure Developer Associate (AZ-204). If you are a startup founder or software product company looking for seasoned architectural guidance, an audit of your current system, or a technical partner to help build out your AI capabilities, send me an invitation and let's discuss your technical challenges.