About Me ------------ I've spent over a decade in Data Science and ML at Microsoft and Google — and I've sat on both sides of the interview table enough times to know exactly what separates a Strong Hire from the rest. I coach candidates targeting mid-to-senior and staff-level roles at FAANG+ and high-growth companies. My sessions are rigorous, honest, and built around one goal: teaching you how to think through ambiguous problems under pressure — not just what to say. What I Cover ---------------- ML System Design — production-scale architectures, end-to-end pipelines, model evaluation, deployment, and the staff-level tradeoffs that trip most candidates up Coding Interviews — algorithmic problem-solving and production-grade code, calibrated to your target company's bar Data Science & Experimentation — statistical modeling, causal inference, A/B testing, business metrics System Design (Distributed Systems) — scalable architecture for senior SWE tracks Resume & Narrative — re-engineering your technical story to pass recruiter screens and trigger real curiosity from hiring managers What You Get ----------------- High-fidelity mock interviews — tone, pacing, and depth matched to actual Big Tech loops, not sanitized practice problems Detailed scorecards — not generic feedback. A precise breakdown of your technical execution, communication, and problem-solving structure with a concrete improvement plan Strategic prep guidance — study roadmaps, timelines, and insider strategies for senior-level loops and cross-domain transitions How Past Mentees Describe It ------------------------------------- Brutally honest, not brutal — precise gap assessment delivered in a way that builds confidence, not anxiety. Frameworks, not answers — you leave knowing how to approach any problem of that class, not just the one we practiced. The real thing — candidates consistently say my mocks mirror the actual interview more closely than anything else they tried.