AI & intelligent systems
Building agents that make decisions, learn from feedback, and solve problems with measurable strategies.
COMPUTER SCIENCE · MIT MANIPAL
I’m Kaustubh, a computer science student who enjoys turning ideas into intelligent, useful software.
I’m studying Computer Science at MIT Manipal. I enjoy experimenting with AI, breaking down algorithms, and making projects people can actually try. I’m most excited by the space where problem-solving meets product thinking.
More about me on LinkedIn ↗Building agents that make decisions, learn from feedback, and solve problems with measurable strategies.
Turning complex problems into clear logic, useful experiments, and fast implementations.
Exploring how software can recognize real-world objects and turn visual input into useful data.
Experiments, ideas, and tools I’ve been building.
An interactive solver that compares entropy and minimax strategies, recommends guesses, and tracks remaining candidate answers.
An agent trained to play 2048 using deep reinforcement learning. Built to experiment with learning, evaluation, and game strategy.
An AI-powered reverse vending concept that recognizes bottles and supports traceable recycling and recovery data.
Tools I use to turn ideas into working prototypes.
Always learning. Always shipping small experiments.
MIT Manipal · Exploring AI, algorithms, and software engineering.
Wordle strategy solver, 2048 reinforcement learning agent, and bottle-recognition prototype.
Improving my engineering fundamentals and building projects worth sharing.
I’m always up for talking about interesting projects, AI, and opportunities to learn by building.