About

Lawrence Wang is a highly skilled Senior Machine Learning Engineer with over 8 years of experience in the field of data science and technology. He is currently working at Pinterest, where he is responsible for developing and implementing machine learning models, NLP, and graph/network analysis. Lawrence is passionate about data-empowered products and technology, and is particularly interested in machine learning, data science tooling, and machine learning/data infrastructure. He has a strong background in ML infra, AWS, NLP, AI, and software engineering. Prior to joining Pinterest, Lawrence worked at Serenade, where he was a Software Engineer, Machine Learning (AI). His work involved teaching software how to turn voice into code, improving speech understanding and code understanding. He also worked on user speech understanding and translation into commands, improved code prediction and ranking, and improved how they understand and represent code from many languages. Lawrence also worked on ML Infra, general backend improvements to product mechanics, and AWS tooling. He used Java, Python, C++, AWS, Tree-sitter/ANTLR, Marian, and Kaldi for his work. Before Serenade, Lawrence worked at Stripe as a Data Science Engineer. He worked on experimentation platform, data infrastructure/tooling, data science tooling, canonical data tables, data pipelines/ETL. He used Scala, Spark, Python, Airflow, and Javascript/React for his work. Lawrence holds a Doctor of Philosophy (PhD) in Statistics from Carnegie Mellon University, where he also earned a Master of Science (MS) in Statistics. He has a Bachelor of Arts (B.A.) in Mathematics and Statistics from the University of California, Berkeley. Overall, Lawrence is a highly skilled and experienced machine learning engineer with a strong background in data science and technology. He is passionate about developing data-empowered products and technology and is always looking for new ways to improve his skills and knowledge.