About Mihir Jha¶

I’m a Software Architect with 14+ years of experience designing and building scalable, high-performance, secure cloud-native systems across finance, banking, and telecom.

My professional background spans:

Distributed Systems
Microservices
Event-Driven Architecture
Cloud-Native Engineering
AWS, Azure & GCP
Java, Kotlin & Spring
Kubernetes & Terraform
Production System Design

Current Focus¶

I’m focused on the intersection of:

Software Engineering + Cloud Architecture + AI Engineering

My current areas of exploration include:

Machine Learning & Deep Learning
Foundation Models, LLMs & Generative AI
Retrieval-Augmented Generation (RAG)
Advanced Retrieval
AI Agents & Agentic AI
Multi-Agent Systems
AI System Design
Enterprise AI Architecture
MLOps & LLMOps
Cloud AI Engineering
AI-powered Microservices

About This Blog¶

The Enterprise AI Engineering Blog is where I publish technical articles, architecture deep dives, engineering perspectives, and practical lessons from exploring modern software and AI systems.

The focus is on understanding not only how technologies work, but also:

How they fit into production architectures
What trade-offs they introduce
How they scale
How they should be secured
How they should be observed and evaluated
How they integrate with existing backend and cloud platforms

Enterprise AI Engineering Handbook¶

For structured, chapter-based technical learning and reference material, visit the:

Enterprise AI Engineering Handbook

The relationship is simple:

Blog
  ↓
Articles, Deep Dives & Engineering Perspectives

Handbook
  ↓
Structured Technical Reference

GitHub
  ↓
Code, Documentation & Collaboration

LinkedIn
  ↓
Discussion, Distribution & Community

Newsletter
  ↓
Ongoing Enterprise AI Engineering Updates

Connect¶

LinkedIn
https://www.linkedin.com/in/mihirkrjha/

Enterprise AI Engineering Newsletter
https://www.linkedin.com/newsletters/enterprise-ai-engineering-7479222208079319041/

GitHub
https://github.com/MihirKJha/enterprise-ai-blog

My Goal¶

My goal is to bridge traditional software and cloud engineering with modern AI engineering and document practical approaches for designing scalable, secure, observable, and production-ready intelligent systems.

Mihir Jha
Software Architect | AI Engineering | Cloud Architecture | Backend Engineering