What I Can Help You With 1. Breaking into AI / ML from any background How to start, what to learn, how to position yourself, what to avoid, and how to build the kind of portfolio that actually gets attention. 2. Agentic AI / Applied AI Career Path A practical roadmap to enter the new wave of AI work (agent workflows, RAG systems, orchestration, evaluation, grounding, reasoning). 3. ML Engineering Fundamentals From linear algebra and embeddings to model training, GPU considerations, latency, and debugging real-world production issues. 4. How to Build Real Projects I’ll teach you the difference between a “toy project” and an actual applied-AI product. You’ll learn how to: • select a problem • design the architecture • write clean, interview-level code • build RAG / agent workflows • evaluate models • showcase the project like an engineer 5. Interview Preparation for AI / ML Roles I conduct technical rounds for ML/DS roles. I can guide you on: • coding interviews • ML fundamentals • problem-solving • system design for ML • how to articulate your thinking • how to avoid common red flags 6. Career Path Strategy For students, early professionals, or people transitioning into AI: choosing the right courses, open-source projects, research direction, and building credibility.