AI/ML Mock Interview — RAG, LangChain, MLOps with Sai Charan Goud Kowlampet

Practice a full AI/ML technical interview with someone who has actually built production RAG apps, fine-tuned LLMs, and worked with LangChain, MLflow, and Docker.

What we'll cover:

→ RAG system design questions

→ LangChain / LangGraph architecture

→ MLOps and MLflow questions

→ "Why AI from ECE?" — narrative building

→ Project deep dives (your projects)

→ Behavioural questions for AI roles

What you'll get:

→ Full 60-min mock interview session

→ Honest feedback on your answers

→ Tips to improve weak areas

→ Confidence to crack your next AI/ML interview

Best for: Freshers targeting AI/ML roles at startups or product companies.