# Xueqi Z. > Creating art and music with AI & ML | Passionate about interactive music systems, including augmented music performance tools, educational music platforms etc. Location: San Francisco, California, United States Profile: https://flows.cv/xueqi I have over four years of work experience as a software engineer, with a passion for artificial intelligence, machine learning, and creative applications of technology (e.g. music information retrieval). I am currently working on the Search Engine Optimization (SEO) team at LinkedIn, where I help Linkedin to optimize its presence on different search engines, like Google Search and Bing. Previously, I was a software engineer at Google, where I worked on two exciting projects. The first one was Magenta, a research group in Google Brain that explores the role of machine learning in the process of creating art and music. I contributed to the development of different music related deep learning models that showcase the potential of AI for artistic expression. The second one was Google Play Movies, where I improved the quality and performance of video streaming service. I collaborated with cross-functional teams and stakeholders to deliver user-friendly and scalable solutions. ## Work Experience ### Software Engineer @ LinkedIn Jan 2021 – Present | Sunnyvale, California, United States Growth - Search Engine Optimization (SEO) team. ### Co-Founder @ Kola Labs Jan 2021 – Jan 2023 | San Francisco, California, United States 1. Achieved significant engagement on TestNet launch, attracting over 10,000+ individual collectors and receiving 300 Rinkeby Ethereums (approximately 1.2M USD revenue) 2. Built and led a team of 16 people, including AI music research scientist, software engineers, designers, marketing leads, business development, legal, community manager and advisors 3. Guided the product and got selected in the Binance Labs / BNB Chain (the world’s largest smart contract blockchain in terms of DAU) Most Valuable Builder (MVB) incubation program, among 700+ applications with a 3.8% admission rate 4. Selected in the 1st batch of startups for the The Sandbox Metaverse Accelerator Program Established strategic partnerships with major industry players, including ENS (Ethereum Name Service) and The Sandbox (the top 1 metaverse for creative and NFT-oriented users, with 2M members) 5. Managed the angel funding round, resulting in critical financial backing to propel Kola Labs' development and market presence. Prepared and delivered technical presentations to investors and business partners ### Software Engineer @ Google Jan 2020 – Jan 2021 | Mountain View, California, United States Software Engineer at Magenta, a research group in Google Brain exploring the role of machine learning in the process of creating art and music (magenta.tensorflow.org) ### Software Engineer @ Google Jan 2019 – Jan 2020 | Mountain View, CA Software engineer at Google Play Movies ### Machine Learning Engineer Intern @ Memect Jan 2018 – Jan 2018 | Beijing City, China • Developed Company Name Abbreviation Generator System, a machine learning system that generates abbreviation of company names given full company names • Researched Neural Networks and Deep Learning theory, including CNN, RNN, seq2seq model, etc. • Used psycopg2 to extract text from company announcement in PostgreSQL database • Used regular expression and jieba to extract 70,000 company full name and abbreviation pairs from the above extracted text, 90% for training and 10% for testing • Solely built, trained and tested a seq2seq RNN prediction model, using TensorFlow, embedding matrix, softmax activation function and cross entropy cost function • The model successfully generated reasonable abbreviations given new company full names ### Fellow at Open Music Initiative 2017 Summer Lab @ Open Music Initiative Jan 2017 – Jan 2017 | Cambridge, MA • This project is initiated by IDEO, MIT and Berklee College of Music • Software developer for a five-person multi-disciplinary team focusing on applying Blockchain technology in music industry, with prompt to “commercializing mixtapes built from original material and back catalogs” • Developed a smart contract that automatically distributes revenue to different right holders on a Blockchain platform, using Solidity • Applied the human-centered design principles in conducting interviews, rapidly developing prototypes and continually iterating to build novel models. • Developed a multi-level sample marketplace where copyright holders can set the intention for their music and distribute revenue easily when their music is being used ### Research Assistant @ Smith College Jan 2017 – Jan 2017 | Northampton, MA Research Project: Handwriting Recognition and Retrieval Explored techniques to identify appearance of an arbitrary query word and its location in a handwritten historical manuscript and accurately transcribe it ## Education ### Bachelor of Arts - BA in Computer Science and Music Double Major Smith College Jan 2014 – Jan 2019 ### Undergraduate Computer Science Department Special Student Massachusetts Institute of Technology Jan 2017 – Jan 2018 ### Center for Computer Research in Music and Acoustics(CCRMA) Stanford University Jan 2017 – Jan 2017 ### Twelve-Week Summer Semester Program Berklee College of Music Jan 2016 – Jan 2016 ### Formal Analysis in Empirical Analysis, Multimodal Communication, Complex Systems Minerva University Jan 2015 – Jan 2016 ### Summer Program Carnegie Mellon University Jan 2015 – Jan 2015 ## Contact & Social - LinkedIn: https://linkedin.com/in/xueqi-zhang --- Source: https://flows.cv/xueqi JSON Resume: https://flows.cv/xueqi/resume.json Last updated: 2026-03-23