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Digital Product
5 RAG Interview Questions — Beginner to Advanced
RAG interview QA - "what is RAG" to agentic RAG.
Digital Product
The AI Engineer's Python Handbook
Master Python internals, OOP, & memory for AI/ML interviews.
Video meeting . 45 mins
Build Your First AI Application
1:1 guidance to build & ship your first AI app
Video meeting . 45 mins
RAG Architecture Review
Fix retrieval quality, stop hallucinations, get action plan
Video meeting . 30 mins
AI Career Roadmap for Beginners
A personalized roadmap to start your AI career
Video meeting . 30 mins
AI Role Readiness Check (for Freshers)
Find out what's missing in your AI job profile
Video meeting . 45 mins
AI/ML Interview Preparation
Prep strategy & key concepts for AI/ML interviews
Video meeting . 45 mins
Mock AI Engineer Interview
Live mock interview with real feedback & scoring
About me
I'm Abhishek, an AI Engineer building production-grade RAG and agentic AI systems for enterprise clients. I currently work on-site with one of India's largest industrial conglomerates, where I lead end-to-end delivery — from architecture and prompt engineering to client demos and stakeholder management — across a portfolio of live AI projects.
My focus is on the practical side of LLM engineering: RAG pipelines, multi-agent architectures, LangGraph, secure tool execution, and prompt systems that actually hold up in production (not just in a demo). I write about agentic AI architecture on LinkedIn and Substack — covering things like design patterns for agents, Model Context Protocol, and defense-in-depth security for AI systems.
If you're building or scaling an AI product and want a second pair of eyes on your architecture, prompt design, or RAG strategy — or you're prepping for an AI engineering interview and want someone who's been on both sides of the table — I'm happy to help.