Course Projects

• Binary Suffix Learning in Non-Binary Bases (Report, Github)
  Course Project for Principles of Deep Learning (With Alexis Fox, Benjamin Greene, Kai Wang)

• Applications of the Circular Law to Ecological Networks (Summary) (With Xiaoan Xu, Chengzhi Sun)

Presentation for Introduction to Random Matrix Theory in Fall 2025 at Duke University.

• Secretary Problem with Predicted Mean (Report, Slides) (With Eric Chen, Ben Holmgren)

Course project for Approximation Algorithms in Fall 2024 at Duke University.

• Webpage design and back-end database integration to support SQL queries for an Amazon mockup 

(Github, With Ja'Nya Breeden, Eric Chen, Angad Grewal, Vladimir Khismatullin) 

Course project for Database Systems in Spring 2024 at Duke University.

• Price Categorization for LA Airbnb properties (Report, Code)

Kaggle course project for Theory and Algorithms for Machine learning in Fall 2023 at Duke University.

• A survey on Sublinear Time Algorithms (Report, Slides) (With Prayas Rautray)

Course presentation for Randomized Algorithms in Spring 2021 at IISc. 

• Streaming Algorithms for Packing and Covering (Report, Slides) (With Sarvagya Jain)

Course presentation for Theorists Toolkit in Fall 2021 at IISc. 

• Two recent algorithms for approximating Subset Sum (Report, Slides) (With Sarvagya Jain)

Course presentation for Approximation Algorithms in Spring 2022 at IISc. 

• Reingold's seminal result that UPATH is in L (Slides) (with Prashant Gokhale, Shravan Mehra)

Course presentation for Complexity Theory in Fall 2022 at IISc.