Ruopei Feng

expertise

  • Computer Vision
  • Data Engineering
  • Model Deployment
  • Natural Language Processing
  • Predictive Analysis/Time-Series

other

  • TensorFlow
  • Spark
  • Docker/Flask/Dask
  • Amazon Web Services
  • Microsoft Azure

Ruopei Feng, PhD

Data Scientist

Ruopei Feng

about Ruopei

Ruopei Feng, Ph.D., has extensive experience solving problems in the domain of data science and engineering. He received his Ph.D. in Physical Chemistry from the University of Illinois at Urbana-Champaign where he developed movement tracking and behavior algorithms in 3D with state of the art tools in computer vision, machine learning, and statistical modeling. Trained as a scientist, Ruopei leverages his experience working at across stages of an AI project: From the project inception to the acquisition, interpretation, and presentation of data and models. Since joining SFL Scientific Ruopei has worked with pharmaceutical clients such as Roche and Vertex on AI initiatives and has developed a cloud-based real-time game score prediction for live sports, utilizing various AWS cloud services for real-time model management and deployment.

Well versed across cloud platforms and data science modalities, he has worked in the field of natural language processing, building, and tuning state-of-the-art language models including BERT to enable synonym matching and quantitative analysis of conversations. He has also worked with clients in e-commerce, where he used tools including Spark and Google Cloud to calibrate and tune a DNN that leverages billions of rows of data to assist their business decision making for real-time customer serving.