I build machine learning systems that work at scale—from ranking and recommendation systems to large language models powering Trust & Safety for hundreds of millions of users. Over the past 7+ years, I’ve worked at Microsoft, ShareChat, AlphaSense, and LinkedIn, building and deploying production ML systems across the full lifecycle—from data pipelines and feature engineering to model training, deployment, and optimization. I’ve successfully cleared interview loops at Meta (London), LinkedIn, Amazon, Microsoft, and Uber, giving me firsthand insight into what top tech companies evaluate during the interview process. I can help you with: * ML System Design Mock Interviews (recommendation systems, ranking, search, LLMs, Trust & Safety, end-to-end ML architecture) * ML Depth / Machine Learning Interviews (algorithms, modeling, feature engineering, experimentation, production ML, LLM fundamentals) * Behavioral Mock Interviews using real FAANG-style questions and actionable feedback * Resume reviews, interview strategy, and career guidance for Machine Learning and Applied Scientist roles Whether you’re targeting FAANG or other top tech companies, I’ll provide detailed feedback, identify your weak areas, and help you build the confidence needed to perform well in the actual interview. Book a session if you’re looking for honest, practical feedback from someone who has recently gone through and cleared multiple Big Tech interview loops.