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╚══════╝ ╚═════╝ ╚═╝ ╚═╝╚══════╝╚═╝ ╚═╝╚═════╝ ╚══════╝╚══════╝ ╚═╝ ╚═╝╚═╝
"I don't just build software — I architect systems that think."
I'm a Software Engineer specializing in scalable AI systems, bridging the gap between raw machine intelligence and production-grade, cloud-native applications. My work lives at the intersection of enterprise .NET backends, reactive Angular frontends, and Azure's AI ecosystem — from prompt engineering all the way down to deployment pipelines.
- 🎓 B.Tech in ECE (minor in CSE) → foundation in signals, systems & software
- 🎓 M.Tech in AI/ML → deep expertise in intelligent systems design
- 🔭 Currently building: LLM-powered scalable backends on Azure AI Foundry
- 💡 Philosophy: Clean architecture first, intelligence layered on top
┌──────────────────────────────────────────────────────────┐
│ USER / CLIENT LAYER │
│ Angular · TypeScript · RxJS │
├──────────────────────────────────────────────────────────┤
│ API GATEWAY LAYER │
│ ASP.NET Core · REST · SignalR · gRPC │
├──────────────────────────────────────────────────────────┤
│ AI ORCHESTRATION LAYER │
│ Azure AI Foundry · Azure OpenAI · Semantic Kernel │
├──────────────────────────────────────────────────────────┤
│ DATA & SERVICES LAYER │
│ Azure SQL · Cosmos DB · Azure Service Bus │
├──────────────────────────────────────────────────────────┤
│ INFRA & DEPLOYMENT LAYER │
│ Docker · Azure DevOps · GitHub Actions │
└──────────────────────────────────────────────────────────┘
| Degree | Specialization | Focus |
|---|---|---|
| 🏫 M.Tech | Artificial Intelligence & Machine Learning | Deep Learning · NLP · MLOps · Scalable AI Systems |
| 🏫 B.Tech | Electronics & Communication Engg (minor: CSE) | Signal Processing · Embedded Systems · Algorithms |
current_obsessions:
- Agentic AI systems with Azure AI Foundry
- LLM fine-tuning & RAG pipelines at scale
- .NET + Semantic Kernel for AI orchestration
- Event-driven architectures with Azure Service Bus
- Containerized ML inference with Docker on ACI
always_thinking_about:
- How to make AI systems actually reliable in production
- The sweet spot between model complexity and latency
- Clean architecture patterns for AI-first backends
// The best AI system is the one that ships to production
console.log("Build → Deploy → Scale → Repeat 🚀");