Hi, I'm Aurelius Nguyen

I'm an honors Master's student in Computer Science at the University of Minnesota, specializing in Machine Learning and Artificial Intelligence.

I'm also passionate about Cybersecurity, Data Engineering, Quantum Computing, and Agentic Systems.

I participate in Hackathons and CTF competitions (mostly Reverse Engineering and Cryptography) every weekend.

View My Work Get In Touch

About Me

Education

Integrated Bachelor and Master of Science

Computer Science

University of Minnesota, Twin Cities

GPA: 3.8/4.0 • Expected May 2027

Relevant Coursework

Cryptography, MLOps AWS Specialization, Deep Learning, TensorFlow Developer, Generative Adversarial Networks, Algorithms & Data Structures, Data Engineering, Event-Driven Architecture, Cybersecurity

Experience

Software Engineering AI Intern

Headstarter AI

June 2024 – October 2024

•Built 14+ machine learning, AI-engineering, and full-stack applications in fast-paced team environments
•Engineered NLP pipeline with multi-agents, few-shot prompting, and RAG, boosting response quality by 200%
•Mentored by engineers from Amazon, Google, Two Sigma, Figma, Capital One, and Stanford

Expertise

Machine LearningMLOps on AWSFederated & Distributed LearningNatural Language ProcessingComputer VisionGenerative Adversarial NetworksDiffusion ModelsAI EngineeringGeometric Deep LearningAgentic Systems

Featured Projects

A selection of my work in machine learning, AI engineering, and full-stack development

ML-RSA UROP Research

Sep 2025 – Present

Conducted cutting-edge research on RSA semiprime factorization using neural networks, implementing 4 distinct architectures: Binary LSTM, Enhanced Transformers, Dual-Loss LSTM, and GANs. Achieved 10-39% improvement over foundational works.

Key Highlights

▸Pioneered first Transformers application to RSA factorization
▸Engineered 125-dimensional mathematical feature vectors
▸Architected scalable AWS SageMaker training pipeline

PyTorchTransformersLSTMGANAWS SageMaker

Brain Tumor Classification

Oct 2024 – Nov 2024

Developed end-to-end deep learning models achieving up to 99% accuracy using transfer learning with Xception, ResNet, and EfficientNet. Created saliency maps and deployed with Streamlit.

Key Highlights

▸99% accuracy on test set
▸NLP pipeline with Gemini-Flash for predictions analysis
▸Real-time inference with Streamlit deployment

TensorFlowStreamlitGeminiPlotly

Customer Churn Prediction

Sep 2024 – Oct 2024

Built end-to-end ML model leveraging XGBoost, RandomForest, Voting, Stacking, and SMOTE, increasing prediction accuracy by 15% and recall by 20%. Deployed on Render for real-time inference.

Key Highlights

▸15% accuracy improvement, 20% recall boost
▸Personalized evaluation using llama-3.2b
▸Deployed with seamless updates and minimal downtime

Scikit-learnXGBoostStreamlitGroqRender

Violet - Discord Clone

Nov 2024 – Dec 2024

Full-stack Discord clone with live video chat and messaging, using Next.js for SSR and Shadcn for responsive UI. Integrated WebSocket for real-time communication and Clerk for MFA.

Key Highlights

▸Real-time video chat and messaging
▸Optimized for high concurrent user loads
▸Chat moderation using llama-guard

Next.jsWebSocketClerkConvexShadcnGroq

Nanao-chan AI Chatbot

Dec 2024 – Jan 2025

AI chatbot capable of answering questions from external websites using Puppeteer for dynamic scraping and Cheerio for HTML parsing. Implemented caching with Upstash Redis.

Key Highlights

▸Response times reduced to 3 seconds
▸RAG pipeline for summarizing web pages
▸50% engagement improvement

Next.jsRedisUpstashGroq APIPuppeteerCheerio

Flashcard Generator

May 2024 – Jun 2024

Built a web app to generate interactive flashcards from text descriptions, leveraging Groq API’s llama-3.2 for question generation and summarization within the timeframe of 3 seconds maximum. Implemented Supabase for storing user data and flashcards, enabling a persistent, user-friendly experience. Hosted the app on Vercel, ensuring continuous deployment with minimal downtime.

Key Highlights

▸Efficient storage with Supabase
▸3 second response time
▸User-friendly experience

Next.jsGroqSupabaseLangchainOpenAI

Skills & Technologies

Languages and Technologies I've worked with

Python

JavaScript

TypeScript

C++

Java

Rust

Hack

SQL

OCaml

LaTeX

TensorFlow

PyTorch

Scikit-learn

PySpark

Apache Kafka

PostgreSQL

CUDA

Next.js

AWS

Langchain

OpenAI

Docker

Terraform

Git

Linux

Kali Linux

Python

JavaScript

TypeScript

C++

Java

Rust

Hack

SQL

OCaml

LaTeX

TensorFlow

PyTorch

Scikit-learn

PySpark

Apache Kafka

PostgreSQL

CUDA

Next.js

AWS

Langchain

OpenAI

Docker

Terraform

Git

Linux

Kali Linux

Python

JavaScript

TypeScript

C++

Java

Rust

Hack

SQL

OCaml

LaTeX

TensorFlow

PyTorch

Scikit-learn

PySpark

Apache Kafka

PostgreSQL

CUDA

Next.js

AWS

Langchain

OpenAI

Docker

Terraform

Git

Linux

Kali Linux

Python

JavaScript

TypeScript

C++

Java

Rust

Hack

SQL

OCaml

LaTeX

TensorFlow

PyTorch

Scikit-learn

PySpark

Apache Kafka

PostgreSQL

CUDA

Next.js

AWS

Langchain

OpenAI

Docker

Terraform

Git

Linux

Kali Linux

Languages

PythonJavaScriptTypeScriptCC++JavaGoRustHackSQLROCamlLaTeX

Technologies & Frameworks

TensorFlowPyTorchScikit-learnPySparkApache KafkaPostgreSQLCUDANext.jsAWSLangchainOpenAIDockerTerraformGitLinuxKali Linux

Awards & Achievements

Recognition for excellence in CTF competitions, hackathons, and research

UROP Award Recipient

Research

Top 20/1500 Headstarter Hackathon

Hackathon

Top 1 IUCTF

CTF

Top 4 UMNACMCTF

CTF

Top 18/927 K17CTF

CTF

Top 19/671 OlympicsCTF

CTF

Top 30/848 BitsCTF2025

CTF

Top 27/550 WannaGameCTF

CTF

Top 35/537 ECTF

CTF

Top 106/1400 IrisCTF2024

CTF

UMN Global Excellence Scholarship

Academic

Rank 150 on CryptoHack

Security

Competitive Programming

I love participating in Hackathons and CTF competitions to push my problem-solving abilities to the limit. Every challenge is an opportunity to learn and grow.

GopherHack CryptoHack LeetCode

Get In Touch

I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.

Contact Information

nguy5272@umn.edu

Phone

(612) 558-1395

Location

Minneapolis, MN

Connect With Me

Follow me on social media and check out my work on GitHub.

My GitHub My LinkedIn Send Me an Email

Built with Next.js, TypeScript, and Tailwind CSS