In this video, I’m sharing my complete career journey—from starting 6 years ago at TCS as a manual tester to joining Google as an AI/ML Engineer. I walk you through each transition (TCS → EXL → Aditya Birla Capital → Google) and the exact mindset shift that helped me move from QA/testing into Data Science, ML, and now GenAI. If you’re from a tier-3 college, non-CS background, or you feel “stuck” in a service-based role, this is the kind of path that proves it’s doable—if you stay consistent. I break down the roadmap I followed: what to learn, how to structure your prep, and what actually matters for FAANG-style AI/ML interviews—DSA, ML system design, and GenAI concepts like RAG and LLMs. I also share the kind of projects that moved the needle for me across finance/insurance/credit risk, plus how I positioned GenAI work so it looks like real engineering—not just toy demos. Finally, I talk about handling rejections, staying patient, and building an “anime-style” long game where you keep leveling up until the opportunity clicks.