Amit Upadhyay
Open to AI Architecture Advisory

Designing Production-Grade AI Systems with Azure & .NET

AI Systems Architect building production-grade AI systems on Azure and .NET — backed by 14 years of engineering experience. Not demos. Production systems that run at scale — and the lessons documented openly at aiwisdom.dev.

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

Platform

TowerAssist

Real-Time RBAC

Cross-platform app for building maintenance — residents raise tickets, technicians resolve them, admins oversee all activity with real-time Firestore, FCM push, and 3-tier RBAC.

Stack: Flutter · Firebase · Riverpod

Case study
AI Tool

AI Study Planner

Privacy-First AI

Privacy-first study app built with React Native. OCR syllabus scanning, Groq Whisper voice input, AI mock tests, smart scheduling, and a built-in prompt injection guard.

Stack: React Native · Groq LLaMA 3.3 · Expo

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