python on /home/fel1x

Scalable Real-Time Credit Card Fraud Detection System

xuanphuc.a1gv@gmail.com (Felix Hoang) — Thu, 06 Nov 2025 00:00:00 +0000

This repository contains a complete end-to-end system for real-time credit card fraud detection, including data analysis notebooks, a machine learning API, and infrastructure-as-code for cloud deployment. The system is designed with a modern, observable, and scalable architecture.

Building an AI ArXiv Pipeline: Is n8n the Future of Automation? Not Quite

xuanphuc.a1gv@gmail.com (Felix Hoang) — Sun, 02 Nov 2025 00:00:00 +0000

This is my story of how I attempt to build an AI-powered pipeline for ArXiv papers. It was a journey that started with a cool idea about AI agents and ended with me wrestling Docker, n8n, and Python into submission.

SIS ArXiv VAD Papers

xuanphuc.a1gv@gmail.com (Felix Hoang) — Sun, 02 Nov 2025 00:00:00 +0000

This project is a comprehensive platform for managing, processing, and displaying ArXiv research papers. It combines a Hugo static site with a powerful backend of containerized services for AI-driven PDF processing, metadata extraction, and ArXiv interaction.

My STEAM Hacks 2023 experience

xuanphuc.a1gv@gmail.com (Felix Hoang) — Fri, 20 Oct 2023 00:00:00 +0000

Today, I want to share my experience with you about the project I worked on during the Steam Hacks 2023 competition. Although my team did not win any major awards for this project, it was an incredible learning opportunity for me, particularly in terms of coding. Moreover, I also gained valuable insights into the collaborative process through working with my amazing new friend from Son La - Minh Chau.

TechBurst – Revolutionary AI Solution for Identifying Counterfeit Products

xuanphuc.a1gv@gmail.com (Felix Hoang) — Fri, 20 Oct 2023 00:00:00 +0000

This project aims to provide users with a reliable solution to identify counterfeit products. Originally designed as a C2C Ecommerce Platform, the project has evolved to focus solely on counterfeit detection. The system offers two methods for users to verify product authenticity: utilizing a Teachable Machine model and employing a barcode scanner.