Testimonials
I had a session with Ritesh regarding Roadmap for AI Engineering. He explained the entire roadmap with depth. He also shared relevant resources for the same. Overall a fruitful session.
Ritesh is extremely knowledgeable and leaves no stone unturned in sharing. detailed insights, he gives honest advices and the best part he is well-versed with the latest technicalities, he is very good with case analysis and will impart best wisdome.
Crisply explained GenAI and Agentic AI roadmap for experienced professional
Very detailed-oriented and informative files
Services
Digital Product
The Ultimate AI Engineer Interview Handbook
The Ultimate AI Engineer Interview Handbook — 2026 Edition
Digital Product
5
100 Scenario-Based Gen AI Q&A — My Own Interviews
Real scenario-based Q&A from interviews I actually faced
Digital Product
AI Engineer Roadmap - Interactive Progress Tracker
The AI Engineer Roadmap 2026 - Interactive Progress Tracker
Digital Product
Gen AI / AI Engineer Blueprint 2026
Single Path: Beginner to advanced Gen AI interview prep.
Digital Product
AWS for AI Engineers: 200 Interview Q&A
200 Scenario-Based Production Level Interview Q&A
About me
I'm a GenAI Engineer focused on building and teaching production-ready AI systems.
I specialize in RAG Pipelines, Multi-Agent Systems, LangGraph, LangChain, FastAPI, Python, AWS, and LLM Evaluation, with a strong focus on architecture, scalability, and real-world deployment.
Over the past few months, I've built a growing community by sharing practical AI engineering content, interview guides, system design breakdowns, and hands-on projects. My content has generated 300K+ LinkedIn impressions, and I'm honored to be recognized as a Top 1% Creator on Topmate.
Whether you're preparing for GenAI interviews, building your first RAG application, or learning how production AI systems actually work, my goal is to make complex concepts simple, practical, and immediately applicable.
Building AI that thinks. Retrieves. Delivers impact.
Here, you'll find:
✅ GenAI & LLM Interview Preparation
✅ RAG & Multi-Agent Architecture
✅ AI System Design & Production Best Practices
✅ AWS for AI Engineers
✅ Hands-on Projects & Learning Resources
My goal is simple: help aspiring AI engineers bridge the gap between learning AI and building production-ready AI systems.
Let's build AI that doesn't just generate text—it solves real business problems.