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Architect and Software Engineer

Kason Xu

Architect with 9 years of programming experience, focused on the US Tax domain.

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About Me

My introduction

Software Architect with a decade-long passion for programming and a talent for mastering new technologies at lightning speed. I architect highly scalable, multi-cloud enterprise solutions spanning .NET, Java, Azure, and AWS. Currently, my focus is on driving the next wave of innovation by embedding AI, LLMs, and complex data clustering into elegant, resilient system designs.

Automating with AI to achieve peak laziness.
09+ Years
Innovating
20+ Systems
Architected
2000+ Users
Supported

Skills

My technical level

Backend

More than 7 years

Spring Framework (Java)

90%

.Net Framework (C#)

90%

Django (Python)

80%

Flask (Python)

80%

Frontend

More than 6 years

Angular

80%

Bootstrap

90%

JavaScript/TypeScript

80%

HTML/CSS

95%

Video Editer

Hobby

Video Shooting

60%

After Effects

70%

Photoshop

70%

AI/BigData

More than 3 years

Databricks

90%

LLM (ChatGPT, Claude, Gemini, etc.)

90%

Spark

60%

Qualification

My personal journey
Milestone
Impact

The Challenger

Stepping out of my comfort zone to master big data with Databricks
March 2026

The Architect

Architected an enterprise-scale US Tax Form OCR system
Jan 2025 - Present

The Leader

Promoted to lead a high-performing team of 10+ developers.
March 2024

The Mentor

Trained and onboarded 100+ new graduate software engineers
Aug 2022 - Sep 2023

The Early Adopter

Adapted GenAI for enterprise use
Nov 2022

The Builder

Built and shipped my first complete web application
Jan 2017

The Spark

Wrote my first line of code and started my programming journey
2014

Portfolio

Most recent work
Machine Learning project

Machine Learning

Use YOLOv4, an object detection algorithm, to detect, identify and enumerate bacterial contaminants in real-time. Use Fiji and mathematical statistics to process images and annotate target cells for training.

Website
Qidian Events Website

Qidian Events Website

An information bulletin board website aims to collect event information for Qidian readers to quick search. This is not a crawler site. All the data comes from the sharing of users. The average daily visits are around 300, and the highest is over 2000.

Website
Youtube Comments to PNGs

Youtube Comments to PNGs

A convenient website for Youtubers to download video comments. Use YouTube developer API to get video comments data, use HTML and CSS to reformat and save them in PNG format (Canvas2png) for compressed download.

Website

Contact Me

Get in touch