Project Details

Project information

  • Category: ML Research
  • Project date: 08/2023

Software Engineering Research Intern

  • Optimized 15+ neural networks using Keras, TensorFlow, and other ML techniques, achieving a 30% increase in model accuracy and 20% improvement in computational efficiency leveraging data extraction and interpretation.
  • As the first author, presented research findings at the AGU conference to 25,000+ participants from 100+ countries, showcasing the strategic impact and innovation of our project.