Kashyap Maddala
Analyst @Boiler Quant
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WORK HISTORY
Analyst @Boiler Quant
West Lafayette, IN, US
Developing a high-performance Game Theory Optimal (GTO) solver for poker variants- Building an engine to simulate millions of iterations of gameplay to minimize \"regret,\" converging on an unexploitable Nash Equilibrium strategy- Optimizing the computational efficiency of the solver
EDUCATION
Purdue University
Bachelor of Science - BS, Computer Science, Applied Mathematics
ABOUT KASHYAP MADDALA
I\'m an undergraduate student at Purdue University. A bit about myself, I was raised mostly in Australia. However, I have been lived on four continents, which provided me with a lot of global exposure.I am currently double majoring in computer science and applied mathematics, with concentrations in machine learning and algorithms.Some specific subtopics I am keen on are artificial intelligence/machine learning, computational mathematics, computer vision, quantum computing, quantitative finance, and autonomous robotics. All of these incorporate skills from both computer science and mathematics, which are my overarching areas of interest. I have experience using both Python and Java and some exposure to AI tools and models. I\'m eager to learn more about both fields, especially computer science, and will take on any opportunities to enhance my skill set.Feel free to contact me:k•••••••@purdue.edu
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