Hey, I’m
Benjamin Chauhan
I'm a highly skilled and motivated computer science and statistics student with a concentration in machine learning at Duke University. My strong technical skills in programming languages such as Python and Java, as well as my experience with deep learning frameworks such as PyTorch, TensorFlow, and MxNet, have allowed me to excel in my coursework and complete successful projects. Some of my notable projects include analyzing the performance differences between deep learning frameworks on image classification datasets and designing and constructing a fully autonomous self-driving golf cart. In addition to my technical skills, I have also demonstrated strong leadership and teamwork abilities through my involvement in organizations such as CyberPatriot and FIRST Robotics. I am excited to continue learning and applying my skills to new challenges in the future.
EXPERIENCE
University of South Carolina Advanced Research Computing Lab
Jun 2021 - Aug 2021
Columbia, SC
- - Analyzed the difference in performance between the PyTorch, TensorFlow, and MxNet Deep Learning Frameworks on the ImageNet, CIFAR10, and CIFAR100 datasets, using the ResNet50v2 CNN Image Classification model
- - Co-authored a paper that was presented at the South Carolina Junior Academy of Sciences and won 3rd place in its category
Self-Driving Golf Cart
Jan 2022 - May 2022
Hartsville, SC
- - Designed and constructed a fully autonomous self-driving golf cart, allowing up to 4 students with no drivers license to travel across Hartsville with lower risks of accidents or getting lost
- - Implemented object detection with YOLOv7, allowing for enhanced path planning and safety features/object avoidance
- - Built driving logic that collected data from stereoscopic cameras, LIDAR sensors, YOLOv7 and GPS, enabling autonomy
EDUCATION
Duke University
2022 - 2025 (Expected)
Durham, NC
- B.S. in Statistics and Computer Science, Machine Learning concentration
- Relevant Coursework: Data Structures and Algorithms, Linear Algebra, Statistics, Machine Learning
- GPA: 4.0
South Carolina Governor's School for Science and Mathematics (SCGSSM)
2019 - 2022
Hartsville, SC
- Summa Cum Laude
- Relevant Coursework: Database Design, Machine Learning, C++ (Compiler Design), Computational Physics, MATLAB
- Honors: National Merit Finalist, National AP Scholar
- GPA: 3.899/4.0
