Beiqin Zeng

Beiqin Zeng

Machine Learning Engineer Intern

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location of Beiqin ZengToronto, Ontario, Canada

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  • Timeline

  • About me

    Software engineer

  • Education

    • 上海交通大学

      2017 - 2021
      Bachelor's degree Bioinformatics and Biostatistics 89.81/100
    • Department of Computer Science, University of Toronto

      2021 - 2022
      Master's degree Master of Science in Applied Computing 3.85/4

      Data Science Concentration

  • Experience

    • Dewpoint Therapeutics

      May 2022 - Dec 2022
      Machine Learning Engineer Intern

      • Conducted research on removing confounders in a deep-learning-based microscope image analysis pipeline.• Worked with AWS (Sagemaker, S3) to quickly build machine learning models and MLflow to manage and track experiments.• Built, trained, and evaluated supervised and weakly supervised CNN models including Inception, ResNet with TensorFlow.• Designed and conducted experiments of a variety of batch effect correction techniques.• Compared several metrics and proposed new metrics to evaluate batch effect.• Increased model performance by ~10% and decreased batch effect by ~10%. Show less

    • GrainFox

      Jan 2023 - Aug 2023
      Machine Learning Engineer

      • Developed and maintained APIs and features using Python, Django, and RESTful principles in an agile development environment.• Integrated machine learning models into production pipelines using technologies such as Apache Airflow.• Worked in the infrastructure group to ensure smooth CI/CD pipeline and production deployments, monitor system performance, and perform routine maintenance tasks on the PostgreSQL database and production servers.• Leveraged Docker and containerization techniques to streamline development and deployment processes. Show less

    • Archon Systems Inc.

      Jan 2024 - now
      Software Engineer
  • Licenses & Certifications