Kaivan Wadia

Implemented part of LevPA - or level-by-level pointer analysis algorithm - in a graduate compilers project. We broke it down into implementable chunks and worked through the algorithm in C++ with the LLVM compiler infrastructure.

We integrated a Steensgaard pass, built the function call graph, and reduced it into an SCC-DAG to traverse the strongly connected components and analyze their functions. We then used BDDs to represent context conditions, which encode calling contexts and allow… Show more

Implemented part of LevPA - or level-by-level pointer analysis algorithm - in a graduate compilers project. We broke it down into implementable chunks and worked through the algorithm in C++ with the LLVM compiler infrastructure.

We integrated a Steensgaard pass, built the function call graph, and reduced it into an SCC-DAG to traverse the strongly connected components and analyze their functions. We then used BDDs to represent context conditions, which encode calling contexts and allow us to distinguish them from each other with the current state of the list of pointers. We also created the Extended Static Single Assignment (SSA) Form so that a flow insensitive pointer analysis would achieve a flow sensitive result. Show less

Project was part of a 2 person team effort for the Neural Networks class.
We developed a movie recommendation system using Self-Organizing Maps (SOM). Used SOMs to classify over 1450 movies using parameters such as genre and plot keywords.
Experimented with various techinques to calculate similarity for prediction such as Euclidean distance, Cosine distance and Dot Product.
While the accuracy of the final results was not very good compared to the state of the art the algorithm showed… Show more

Project was part of a 2 person team effort for the Neural Networks class.
We developed a movie recommendation system using Self-Organizing Maps (SOM). Used SOMs to classify over 1450 movies using parameters such as genre and plot keywords.
Experimented with various techinques to calculate similarity for prediction such as Euclidean distance, Cosine distance and Dot Product.
While the accuracy of the final results was not very good compared to the state of the art the algorithm showed promise if applied on larger datasets and better test data. Show less

Part of a two member team working on an open source smart watch for our Final year project.

Capabilities include reading E-mails, Texts, Notifications, Social Networking and Location Based Services

Worked as part of an eight member team to develop a Pokemon styled Japanese themed Role Playing Game.

The game included a top down over-world view and a side-scrolling view for battles. The mechanics of the game included crafting and action points.

Programmed in Java using Slick2d Java Game Library

Download the game at - http://www.cs.utexas.edu/users/kwadia/projects.html