Software engineer working across AI systems and backend. I build RAG pipelines, voice agents, and LLM-backed automation, and I've shipped them end to end. On the backend, Java and Spring Boot from API design through deployment, and Python across the AI stack. I've sat on both sides of a lot of interviews. I know how a DSA round differs from a fundamentals round, how system design is actually scored, and why AI engineering interviews break candidates who've only read about the concepts. Tell me the company and the role, and I can tell you what you'll be asked and where your answers are currently costing you the offer. What I go deep on: DSA and how you reason through a problem out loud, core CS fundamentals, Java and Spring Boot internals, Python, and AI engineering from retrieval design to evaluation. I mentored at Coding Ninjas before this, working with students on writing better code and thinking clearly about where their careers were going. That's the part I actually enjoy, which is why I'm here.