About Me

I'm currently seeking new and exciting opportunities that allow me to apply my expertise and passion in the field of computer science and data science. With a strong foundation in intelligent systems, data analysis, and software development, I'm eager to contribute to innovative projects and collaborate with dynamic teams.

Education

I hold a Master of Science in Computer Science from The University of Texas at Dallas, where I maintained an impressive GPA of 3.93/4. My academic journey has equipped me with a deep understanding of cutting-edge technologies in the realm of computer science. Some of the courses I've excelled in include Machine Learning, Statistical Methods, Computer Vision, Natural Language Processing, and Big Data Management and Analysis.

Technical Expertise

I possess a diverse set of technical skills, including proficiency in both back-end and front-end development. My toolkit includes Java, Node.js, C++, Python, PHP, Rust, and GoLang for back-end development. On the front-end, I excel in React.js, Oracle JET, HTML5, CSS3, JavaScript, TypeScript, and jQuery.

In the realm of databases, I'm well-versed in MySQL, Oracle SQL, DynamoDB, and MongoDB. I'm also experienced in various tools and technologies such as Apache Kafka, Docker, Kubernetes, Helm charts, AWS Lambda, Git, Jenkins, and GitHub Actions. My training includes certifications in Neural Networks, Deep Learning, and Agile SAFe 4 Practitioner.

Professional Experience

As a Research Assistant at The University of Texas at Dallas, I've actively contributed to enhancing security in full-stack Java applications, resulting in the resolution of 100% of reported vulnerabilities. I've also successfully migrated legacy applications to Java LTS and Maven, achieving improved security and a 20% performance boost.

During my tenure as a Software Developer at Oracle, Bangalore, I played a pivotal role in developing performance-enhancing features for Java/Spring applications, resulting in a 30% increase in lead processing speed. I also designed real-time log capturing applications that boosted WebLogic team productivity by 90%. Leveraging Apache Kafka, I streamlined marketing data processing, reducing lead wait times by 25%. Additionally, I implemented Docker and Kubernetes for efficient CI/CD, leading to a 40% reduction in deployment times.

Academic Projects

I have a strong background in practical project work, including developing a Movie Recommendation System using Machine Learning, implementing Piano Keys Object Detection for a piano tutor application using Computer Vision, and creating a full-stack E-commerce platform with a focus on Database Design. I've also worked on projects related to operating systems and robotics.

Student Organizations

As the Convenor of the Institution of Engineering and Technology (IET) at NITK, I led strategic event planning, recruitment, and project execution, resulting in a 25% increase in memberships. I fostered cross-collaboration among presidents and IET leaders, enhancing organizational synergy and impact.