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Achievement: Pair ExtraordinaireAchievement: Pull SharkAchievement: YOLO

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AryanThodupunuri/README.md

SDE Intern @ Amazon Web Services (AWS) | CS @ UVA | Building with Java, Python & AWS

Portfolio LinkedIn

Java Spring Boot Python AWS Terraform Docker Apache Kafka PostgreSQL PyTorch React Git

Hi, I’m Aryan. I’m a Computer Science student at UVA and an incoming Software Development Engineer (SDE) Intern at AWS. I specialize in distributed backend systems, cloud infrastructure, and building scalable applications that solve real problems for users.

On my GitHub, you’ll find a mix of cloud architecture, high-concurrency microservices, and machine learning pipelines. Some of my most impactful engineering work includes CourseCompass, a full-stack intelligence engine and chrome extension that serves the UVA community utilizing a high-concurrency Spring Boot API, and a modular AWS Landing Zone built entirely with Terraform and automated CI/CD guardrails. I've also built a Distributed Food Ordering System using Java, Kafka, and Docker with Domain-Driven Design.

Beyond distributed systems, I have a strong background in data and AI. I engineered an HPC-Accelerated Weather Classification Pipeline using PyTorch and Rivanna HPC, leveraging Explainable AI (Grad-CAM) to validate model inferences. I’m always exploring new technologies and enjoy bridging the gap between complex backend architecture and seamless user experiences. Thanks for checking out my work!

Pinned Projects

coursecompass Chrome Web Store
A full-stack distributed system and Manifest V3 Chrome Extension built with Java, Spring Boot, React, and PostgreSQL. Engineered a high-concurrency API to eliminate information asymmetry for 25,000+ UVA students, deployed via Docker.

aws-landing-zone A modular AWS Landing Zone built with Terraform. Designed with VPC/IAM/CloudTrail guardrails, automated CI for security scans, and Terratest implementation for plan-only validation.

extreme-weather-classification An HPC-accelerated computer vision pipeline utilizing PyTorch and OpenCV. Compares CNN architectures (EfficientNetV2/MobileNetV2) to detect catastrophic weather events, using Grad-CAM for Explainable AI.

food-ordering-system A backend microservices architecture built with Java, Spring Boot, Kafka, Docker, and PostgreSQL. Simulates a full food delivery ecosystem using the Outbox Pattern for reliable event-driven messaging.

course-picker A React and Tailwind web application deployed via AWS S3 and CloudFront that helps UVA students optimize their course schedules. Features custom conflict-checking and robust data pipelines built with Python and Pandas.

SlackLite A real-time messaging app deployed with React, FastAPI, MongoDB, and AWS S3 for secure file uploads. Built for low-latency communication utilizing WebSockets.

Feel free to connect or check out my work below 👇
Email: aryan20544@gmail.com

Pinned Loading

  1. food-ordering-system food-ordering-system Public

    Event Driven Microservice System simulating a food ordering system

    Java 1

  2. course-picker course-picker Public

    A course planning tool for UVA CS students. Filter classes by GPA, professor, time, and more — with built-in conflict checking and GPA insights.

    JavaScript 1

  3. aws-landing-zone aws-landing-zone Public

    AWS Landing Zone as a foundation for a secure cloud environment

    HCL 1

  4. personal-data-vault personal-data-vault Public

    Privacy-first data aggregation platform with OAuth2 integrations, encrypted token storage, and AI-powered insights.

    JavaScript 1 1

  5. extreme-weather-classification extreme-weather-classification Public

    Python 1

  6. SlackLite SlackLite Public

    JavaScript 1