Project Guidance - AI/LLM/RAG/Agents

Want to build a GenAI project that actually impresses in interviews? Stuck on architecture? Don't know where to start?

I've built and shipped:

- RAG systems with vector search, chunking strategies, and evaluation pipelines

- Multi-agent research tools with LangGraph and MCP

- Production AI features with function-calling, structured outputs, and fallback chains

- Code analysis tools with AST parsing and LLM reasoning

What I'll help you with:

- Picking the right project idea for your level and target role

- Architecture decisions (what to build, what tools to use, what to skip)

- Getting unstuck on implementation problems

- Making it portfolio-ready and interview-ready (README, demo, deployment)

Bring your idea, your half-built project, or just curiosity. Let's turn it into something you can proudly show.

Best for: Students building GenAI projects for portfolio, final year, or interview prep.