Amit Upadhyay
Open to AI Architecture Advisory

Designing Production-Grade AI Systems with Azure & .NET

AI Systems Architect building production-grade AI and distributed systems on Azure and .NET — backed by 14 years of cloud and solution architecture experience. Not demos. Production systems that run at scale.

Azure
.NET
OpenAI
Docker
React
GitHub
AWS
Kubernetes
TypeScript
C#
Angular
DevOps
SQL
Azure
.NET
OpenAI
Docker
React
GitHub
AWS
Kubernetes
TypeScript
C#
Angular
DevOps
SQL

Services

What I Build

Full-stack AI engineering — from architecture to deployment.

01

AI Systems Engineering

End-to-end AI systems using Azure OpenAI, RAG pipelines, and vector stores — built for production, not demos.

02

Cloud Architecture

Scalable, reliable cloud infrastructure on Azure — microservices, serverless, and DevOps pipelines.

03

.NET Engineering

High-performance C# and ASP.NET Core backends powering real business workloads with production APIs.

RAG ArchitectureVector SearchAI AgentsAI FoundryAzure OpenAI
AzureMicroservicesServerlessDevOpsDocker
C# / .NETASP.NET CoreREST APIsCognitive Services

Portfolio

Recent Work

AI System

TowerAssist

Context-Aware AI

AI-powered assistant for operational workflows in buildings. Context-aware responses powered by domain-specific knowledge retrieval.

Stack: Azure OpenAI · C#/.NET · Cognitive Services

Case study
AI Tool

AI Study Planner

Reliable AI Outputs

Takes a raw syllabus and generates a structured, personalized study plan using constrained AI outputs and JSON schema validation.

Stack: Azure OpenAI · JSON Schema · C#/.NET

Case study

Blog

Writing on AI Engineering

Essays, guides, and case studies on building real-world AI systems. Production lessons — not theory.

Open to Advisory