Shree Hari Muralidharan

Currently working on the JPMC Midas Core project, developing a backend system that integrates Kafka, SQL databases, and REST APIs using Spring Boot. Focused on handling real-time data streaming and optimizing SQL queries for performance and scalability.

Created a basic portfolio using HTML, CSS, and JavaScript as part of a web development role. Gained practical experience in front-end development.

Implemented a responsive CRUD application that improved operational efficiency by saving 15 hours per week for the operations team.

Developed an AI-powered chatbot to assist users with legal queries, implementing natural language processing for improved user interaction. Enhanced accuracy by optimizing database queries and integrating API-based legal resources.

Built a deep learning model using TensorFlow and Keras to detect and classify brain tumors from MRI scans. Focused on image preprocessing techniques and evaluated model performance using various metrics.

Developed a Fake News Detection App using Anaconda in Python, enhancing skills in software development and data analysis.

Grade: 8.50

Pursuing a Bachelor of Engineering in Computer Science and Technology with a CGPA of 8.50. The program covers various aspects of computer science, including software development, algorithms, and database management.

Grade: 64.5%

Completed Higher Secondary Course in Maths, Physics, Chemistry, and Biology with a percentage of 64.5. This program provided a strong foundation in the sciences and mathematics.