About

Xin Fu is a highly skilled Software Engineer at Bloomberg LP with a passion for large-scale platforms, machine learning applications, and ML Ops. With a Master's degree in Electrical and Computer Engineering from Cornell University, Xin has gained extensive experience in the field of software engineering, data science, and deep learning. Xin is a talented individual who has contributed to several open source projects, including GitHub. He has worked with some of the world's leading companies, including Uber and Microsoft, where he gained valuable experience as a Software Engineer Intern and Research & Development Intern, respectively. At Uber, Xin implemented a scaled and parallelized ML inference validation pipeline using Python, Bazel, ProtoBufs, and AWS, and utilized containers for versioning. He also improved the efficiency of metrics computation with Batch jobs and PySpark, and deployed to Buildkite production CI to periodically ensure inference validity, and report metrics to team Slack channel. At Microsoft, Xin designed and built a visualization image analysis system using deep learning on PyTorch and improved correlation performance to 0.6+ by integrating variational auto-encoder model, which earned him an excellent intern award and a publication on IEEE. Xin's education background includes a Bachelor of Engineering in Electronic Information Engineering from Wuhan University and a Master of Engineering in Electrical and Computer Engineering from Cornell University. He possesses a wide range of technical skills, including software engineering, ML, AWS, data science, Python, research scientist, deep learning, and PyTorch. With 2.18 years of relevant experience, Xin is a highly motivated and dedicated individual who is always eager to learn and grow. He is a valuable asset to any organization and is always looking for new challenges to take on.