Shanmukha Sai Madhav Kurra

forward-thinking and driven Interested in creativity and problem-solving while pursuing a master's in computer science. a solid grounding in theoretical computer science ideas as well as hands-on software development expertise. ability to create solutions that are effective, scalable, and maintainable while being knowledgeable in a variety of programming languages and technologies. A collaborative mentality, excellent analytical and communication abilities, and success in fast-paced team contexts. eager to use academic expertise and add to cutting-edge initiatives while advancing software engineering and emerging technology abilities.

Exploring and Exploiting Condition of Reinforcement Learning Agents

• To find the simple and computational inexpensive optimization method for deep Reinforcement Learning and adapted a technique called Thompson sampling algorithm to approximately estimate the conditioning of the agent.
• Also used Random selection domains and compared both the algorithms and found the differences between the two algorithms and their reward difference.

Reader Oriented Evaluation of Online Health Resources

• Developed an application that evaluates online health resource's considering the users readability skills considering his knowledge and experience using machine learning techniques..
• Built a Model using 4 different classifiers to train the data and improve accuracy of the model.

Heart Disease Prediction - beginner's model

• worked on a group project to develop a model to predict heart disease using Python programming language, SciKit-learn to implement machine learning algorithms.
• Used data mining techniques to extract knowledge from raw data and machine learning techniques were used to improve the the accuracy of predictive models.