I'm a recent graduate from The University of Texas at Dallas with a major in Computer Science in the Computing Scholars Honors Program. I'm originally from Dallas and love solving problems. I also have some other interests such as — basketball, CGI, reading, and learning Chinese.
I recently built a book recommendation engine. It's a fun project that uses smart tech to find books similar to your favorites. Pick a book like "For Whom the Bell Tolls" and it'll suggest other captivating stories. It also has AI-generated summaries to help you choose your next read. This project was a cool way to explore front-end development, AI, and natural language processing. Check out the source code: https://github.com/kushb007/books-find and see how it works!
I previously served as a dedicated leader for CodeBurners at UTD, where we fostered a passion for competitive programming and algorithmic problem-solving. Our team organized engaging workshops, hosted exciting contests, and cultivated a supportive community for students to hone their skills and prepare for challenges like the ICPC. Through collaborative learning and hands-on experiences, we empowered students to tackle complex problems, develop innovative solutions, and thrive in the fast-paced world of competitive programming.
During my 2022 internship at Amazon, I spearheaded projects that boosted efficiency and slashed costs. I led the migration of a service to an Apache Spark engine on AWS, which sped up customer segmentation processing by a whopping 90% and saved over $100,000 annually. I also built an automated Java workflow that streamlined engineer requests, saving about an hour per issue. Throughout, I prioritized code quality with thorough testing. This internship was a fantastic opportunity to apply my skills and make a real impact.