Ankur Ankit I’m an AI/ML Engineer with 3+ years of experience designing and deploying machine learning systems that drive measurable impact across healthcare, finance, and QA automation. My work bridges applied research and scalable engineering — from recommendation and prediction models to full-stack ML pipelines running in production. I specialize in building personalized and predictive systems using Python, TensorFlow, PyTorch, Spark, and Databricks, with hands-on experience in recommender systems, NLP, and deep learning. My focus lies in solving real-world problems — reducing latency, improving accuracy, and scaling models for millions of data points. I enjoy working in fast-moving environments where experimentation meets engineering. Whether it’s designing retrieval architectures, optimizing inference, or automating ML workflows through MLOps, I’m passionate about transforming data into intelligent, deployable solutions. 📈 Core Skills: Machine Learning • Deep Learning • Recommender Systems • Predictive Analytics • NLP • MLOps • LLMs • Spark • Databricks • AWS 🌍 Open to AI/ML opportunities in the U.S., Europe, Singapore, and Canada — especially roles focused on scalable ML engineering, p