Advit Bhullar

Background

About Advit Bhullar

Aspiring computer scientist and machine learning enthusiast, currently pursuing a Bachelor of Science in Computer Science with Honors at Purdue University. My academic journey has been focused on a specialization in Machine Learning and Artificial Intelligence, with a GPA of 3.80/4.00, earning me a place on the Dean's List and Semester Honors. During my Software Development Engineer Internship at Amazon, I was an integral part of the AMP team within AWS Security Assurance Engineering. I revamped compliance procedures by developing a centralized data store and UI, resulting in a significant reduction of manual efforts (520 hrs/year) and a 1.5X acceleration in response time for compliance-related customer inquiries. As an Undergraduate Teaching Assistant at Purdue University, I played a key role in courses such as CS 25100-Data Structures and Algorithms and CS 18200-Discrete Mathematics. In addition to instructing and grading for these courses, I created course content for a substantial number of students, contributing to their foundational understanding of computer science. My passion for cutting-edge research is evident in my role as an Undergraduate Researcher in Computer Science at Purdue University. Collaborating with Dr. Ruqi Zhang, I developed and applied a Bayesian framework to quantify uncertainty in Large Language Models using MCMC methods. This research not only expanded my knowledge but also contributed to advancements in uncertainty estimation methodologies. My technical skills span various languages such as Java, Python, C, C++, and JavaScript, along with proficiency in tools like Git, AWS, and development environments like Intellij and Visual Studio Code. I have hands-on experience with projects ranging from building a Learning Management System in Java to implementing a Java Compiler in C. Driven by a thirst for knowledge and a commitment to excellence, I am excited about the intersection of technology and innovation. Let's connect and explore opportunities to collaborate or discuss the latest trends in computer science and machine learning!