2021 - 2024
Bachelor of Science in Computer Science
University of Maryland: College Park
constlearner={name:'Amruth Nare',skills:['Java', 'C/C++', 'python', 'NodeJS', 'MySQL', 'MongoDB', 'AWS', 'Docker', 'react'],education:{level:senior,majors:['Computer Science', 'Finance'],university:University of Maryland: College Park,},leader:true,fastLearner:true,problemSolver:true,};ABOUT ME
Hey, I'm Amruth Nare and I'm a Learner. My name is Amruth Nare and welcome to my personal portfolio website. I am a Computer Science and Finance double major at the University of Maryland: College Park. I aim to use my knowledge to bridge the gap between software and finance. Other than programming and investing, some of my interests include running, weight lifting, listening to podcasts, learning about economics, and playing video games.
4+Years of experience
5+Companies worked with
12+Projects completed
Experience
Software Development Engineer Intern
Amazon Web Services
(May 2024 - Aug 2024)
At AWS, I modernized the S3 reservation service into a REST API with OAuth security. I integrated this API with Google Guice and created a comprehensive test suite using JUnit5 and Mockito. I implemented AWS CloudWatch metrics for better monitoring and successfully deployed the API to production. I also developed a CLI and Java Client that were widely adopted, impacting reservations for millions of S3 hosts across multiple AWS regions..
Software Engineer Intern
GEICO
(Jun 2023 - Aug 2023)
During my internship at GEICO on the Mobile Cloud Integration Tier team, I improved the Mobile Cloud API by migrating endpoints to serverless functions on Azure using C#. I significantly reduced Redis cache latency and implemented secure callback functionality. I also designed and built an automated diagnostic tool using logistic and linear regression, which improved anomaly detection in production server performance. Throughout the project, I utilized Splunk, Python, and SciKitLearn to manage and analyze API calls on non-production servers, demonstrating my skills in data analysis and software development.
Software Engineer Intern
Capital One
(May 2022 - Aug 2022)
Interned at Capital One's Center for Machine Learning with the Document Intelligence and Vision Engineering team. I built and trained machine learning models using Paddle for object detection on ID documents. I created a Docker image for the team's Paddle model training, which I published to Artifactory. I also developed an end-to-end pipeline using PP-YOLOv2 and PP-YOLOE algorithms for general object detection. Throughout the project, I utilized Python, Paddle, Docker, AWS S3, and Artifactory, demonstrating my skills in machine learning, containerization, and cloud technologies.
Research Intern
University of Maryland: Robert H. Smith School of Business
(Apr 2020 - Aug 2020)
As an intern under Dr. Zhang at the University of Maryland, I addressed efficiency issues in machine learning computations. I developed a machine learning architecture that utilized data parallelism for efficient distributed processing. I documented this architecture in a comprehensive research paper. The implementation resulted in a 67% increase in efficiency when training various ML models across four nodes. The project involved working with Horovod, TensorFlow, AWS DLAMI EC2, and OpenMPI, showcasing my skills in advanced machine learning techniques, distributed computing, and cloud technologies.
Back-End Intern
University of Maryland: Robert H. Smith School of Business
(Jun 2020 - Jan 2021)
As a high school student, I was recruited from the competitive Open Water talent pool to work for a startup. I developed the back-end REST API for the Medius web application using NodeJS, ExpressJS, and MongoDB Atlas. I deployed and managed the MVP using AWS services including Route53, EC2, and VPC, along with GoDaddy. I continued to enhance the web application by implementing OAuth integration, ElasticSearch, and filters. This experience demonstrated my advanced technical skills and ability to contribute significantly to a startup environment.
Skills
Technical
Soft
Education
2021 - 2024
Bachelor of Science in Finance
University of Maryland: Robert H. Smith School of Business
2017 - 2021
Science, Math, and Computer Science program
Poolesville Magnet High School