About

Xiaolu Jiang is a highly skilled Senior Machine Learning Engineer at Spotify with over 13 years of experience in the tech industry. With a Ph.D. in STEM and a Master's in Computer Science, Xiaolu has excellent software engineering, problem-solving, presentation, and analytical skills. She is passionate about combining her scientific training, machine learning, and programming skills to find the truth in data and build exciting data products. Xiaolu has worked with various companies in the past, including Insight Data Science, where she served as a Technical Advisor and mentored six Ph.D.-level data scientists on machine learning concepts and project management to develop their data science and analytics projects. She also worked as a Data Science Fellow at Insight Data Science, where she consulted with Chatdesk Inc. to create an NLP-powered QA response engine for airline customer service. Xiaolu built word2vec embeddings and a logistic regression model to predict similarities between customer questions and classify customer questions. She also developed an interactive chatting web app that can suggest responses and topics to a customer question and deployed the Flask/PostgreSQL app on AWS. Xiaolu has an impressive educational background, with a Ph.D. from Peking University, a Master's in Computer Science from Georgia Institute of Technology, and a Bachelor's in Science from Nankai University. Her technical skills include ML, Data Scientist, and Software Engineer. Overall, Xiaolu is an experienced and talented Senior Machine Learning Engineer who is passionate about using her skills to build exciting data products. She is an excellent problem-solver and has a track record of mentoring and leading teams to achieve their goals.