ml, software, that stuff.
undergrad in chennai, india. looking for software internships.
building bondly.fun at the moment, will bring back those cool cool passion projects when im done. also can get some sick editing done to pay for my valorant skins(i only do paid projects)
taking a break from ml, my next project is a website that is a modulated space for couples with cool ai features and im so excited to build it, ml is on the pause for now, i am looking into getting into full stack ai dev, i would want my future opportunities to wave around there.
also on the side i have been working on a full stack ai esports statistics page with a lot of ai features for teams to prepare for games with data, a lot of it
i am not doing any internships currently. i am looking for anything that involves integrating ai into applications. i have a background of classical ml, and i want to tangent to building ai applications that will pay for my future wife's chanel bags
training a neural network to play chess by learning from grandmaster games. using supervised learning on millions of chess positions to predict the best moves. a work in progress. currently figuring out how to efficiently parse through all the games
using DDPG on pytorch to simulate 9 auction agents to play with me and using more ideal datasets it gets harder to play. cool tool. to prepare for auctions and a fun game to make :)
View Projectsince topps cricket attax were discontinued after 2017, i try to use supervised learning to predict future cards using older cards and make the new cards with the help of the web archive to fetch older photos of players
simulated the ultimate T20 tournament with all teams from around the world. used transformer and GRU models to predict deliveries, involving 6,442 matches and 2,421 players across 82 franchises. virat kohli took the orange cap with 1,471 runs, lewis gregory picked 816 wickets, and durham won it all.