Summary
Prateek Anand is a Staff Applied Scientist with 15 years of experience building end-to-end ML and GenAI systems, currently driving LLM and applied science efforts at Amazon after leading flagship initiatives at Intuit and Ticketmaster. He combines deep hands-on expertise in recommendations, fraud detection, and LLM-driven products with a proven track record of shipping production pipelines, automations, and org-wide evaluation frameworks—holding six patents, five as first inventor. Prateek has improved user engagement and reduced losses through novel architectures (e.g., Transformer-based recommenders, GNNs for fraud ring detection) and operationalized LLMs with hybrid RAG/fine-tuning approaches and LLM-as-a-judge evaluation. Comfortable across Python, Spark/Scala, TensorFlow/PyTorch, and AWS Bedrock/SageMaker, he excels at translating product strategy into multi-year technical roadmaps while mentoring senior engineering teams. Based in California, he pairs systems-level thinking with meticulous model monitoring and uncertainty quantification, frequently influencing product direction cited in earnings calls.
8 years of coding experience
2 years of employment as a software developer
Master of Science (M.S.) Data Science & Machine Learning , Master of Science (M.S.) Data Science & Machine Learning at University of North Carolina at Charlotte
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Shanmugha Arts, Science, Technology and Research Academy