Rushat Aboti is a high school student at Dougherty Valley High School in California. He has a strong interest in physics and artificial intelligence. He also earned recognition as the Best Delegate in MUN Debate.
Technical Experience and Skills
Rushat worked as a Mulesoft Developer Intern. He used Mulesoft Anypoint Studio, Postman, and MySQL to build a customisable database. He also helped develop a mobile app using Flutter and Dart.
Additionally, Rushat gained experience as a Media Intern at Sakshi TV USA.
Tutoring and Community Support
Rushat tutors high school and middle school students in mathematics and physics. He has helped students prepare for competitive talent tests, especially middle school Olympiads.
He also understands international curricula. In addition, he has supported students from underrepresented backgrounds in India. Through tutoring, he helps address gaps in educational resources.
Research Accepted at MIT URTC 2023
Rushat’s research paper, “Enhancing Photometric Redshift Predictions and Uncertainty Quantification using Deep Learning Methods,” was accepted at MIT URTC 2023.
The conference showcases undergraduate-level research in engineering and technology. Rushat’s project explores ways to improve photometric redshift predictions using deep learning. It also examines methods for measuring uncertainty in those predictions.
Congratulations to Rushat on this achievement!
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