Summary
- 5+ years of experience in machine learning modeling with publications
- Academic research focused on explainable artificial intelligence
- Ph.D. in Artificial Intelligence, completed May 2024
Transferable Skill
Machine Learning Engineer – University of Nebraska (UNO)
January 2017 – May 2024
- Trained machine learning models with 98% accuracy, an improvement by 10% in comparison to state-of-the-art, in structural health monitoring
- Collaborated with engineers, bridge managers, and researchers to develop and implement machine learning and deep learning models for prediction of bridge maintenance, resulting in 3 research publications and other ongoing work
- Created web crawlers for scraping environment, population, and inspection records resulting in a collection of over 21 million records
- Communicated results analysis through interactive visualizations, written reports, publications, and presentations
↗
Ramsey A, Kale A, Kassa Y, Ricks B, Gandhi R. Toward Interactive Visualizations for Explaining Machine Learning Models. Proceedings of the Information Systems for Crisis Response and Management Conference, Omaha, NE, USA. 2023.
↗Kale A, Kassa Y, Ricks B, Gandhi R. A Comparative Assessment of Bridge Deck Wearing Surfaces: Performance, Deterioration, and Maintenance. Applied Sciences. 2023; 13(19):10883.
↗Kale A, Ricks B, and Gandhi R. New measure to understand and compare bridge conditions based on inspections time-series data. Journal of Infrastructure Systems 27.4 (2021): 04021037.