Machine Learning Intern
- Developed a machine learning based early warning system to predict thermal runaway in batteries of electric cars, aiming to prevent hazardous events like explosions.
- Implemented and evaluated time series analysis models, including a Transformer-based architecture (Sundial), to perform binary classification on battery health status.
- Engineered predictive and informative features from sensor data to improve model accuracy and robustness.
- Collaborated with the research and development team to validate model performance against historical data and contributed to the company's ensemble algorithm.