CV

Education

• B.S. in Physics, University of Science and Techology of China, 2017
• Ph.D in High Energy Physics, The Ohio State University, 2022

Work experience

• Cognomotiv Inc Machine Learning Engineer: Feb 2023 - Now
  • Developing ML/DL models for automotive solutions
    • Machine learning models for Telematic/CANBus, battery, and NVH data
  • Building GenAI software for automotive diagnostics/services
  • Developing internal algorithm packages for agile solution development
• QuantUnicorn Quantitative Engineer: Dec 2022 - Now
  • Developing and maintaining backends for QuantUnicorn
  • Optimization, model validation, and back tesing for trading stretegies

Skills

• Programming Language
  • Python
  • C/C++
• Machine Learning
  • Data process: Numpy/Pandas/PySpark
  • Database: SQL/Weaviate/Neo4j
  • Data Visualization: Matplotlib/seaborn/Plotly
  • Model building: PyTorch/Scikit-learn/xgboost
• MLOps/DevOps
  • AWS/GCP
  • MLflow/Airflow
  • Docker
  • CI/CD
  • Terragrunt

Publications

Search for disappearing tracks in proton-proton collisions at $\sqrt{s} =$ 13 TeV

CMS Collaboration Albert M Sirunyan (Yerevan Phys. Inst.) et al. "Search for disappearing tracks in proton-proton collisions at $\sqrt{s} =$ 13 TeV " Phys.Lett.B 806 (2020) 135502

Service and leadership

• IOP Publishing reviewer