Ricky Chan

[(endeavor ∧ talent) ∧ mindset] ⇒ extraordinary

Hong Kong, Tin Shui Wai

18-year-old, 2007

Student, Developer, and Entrepreneur

console.log("Hello World!")

Languages

English

Fluent

Cantonese

Native

Mandarin

Fluent

Initiatives & Projects

HackTheEast AI Hackathon 2026

Member of the Organizing Team

November 2025 - Current

GoDotWebs, The Web Solution

The Founder

December 2023 - Current

Other Initiatives & Projects

Mostly discontinued, open-source.

B0 English Reading Mock Examination

The Host of The Mock Examination

February 2025

QuLoad, File-to-link Convertor

Independent Developer

February 2025

MassMail, Mass Email for Marketing

Independent Developer

January 2025

Jumpmaster, Simple Web Builder

Independent Developer

December 2025

DotWebsHosting, Cloud Hosting Platform

Independent Developer

October 2024

Competitions

AWS AI Hackathon Hong Kong: Build Tomorrow's Hong Kong with AI

Participation

September 2025

Certificates

Hong Kong Blind Union’s International White Cane Day 2025 Cane-A-Thon Charity Fun Walk cum Inclusive Carnival

Team Leader

October 2025

Stanford University, Introduction to Logic

Completed

September 2025

Top Up Learning London, Certificate of English

Level of English attained: Advanced C1

June 2024

Skills

Web Development

HTML, TailwindCSS, Next.js, React.js, JavaScript, Typescript, Supabase, Firebase

2 Years

Digital Marketing

Google Analytics, Google Search Console, SEO, Keyword Research, Social Media Advertising

2 Years

3D Modeling

Blender

4 Years

Graphic Design

Adobe illustrator, Adobe Photoshop

6 Years

Video Editing

Adobe Premiere Pro

6 Years

Work Experience

Freelancing

Atop Development Company Limited

Developer

June 2025

Me Time Catering Limited

Developer

June 2025

Hong Kong Electronic & Mechanical Limited

Developer

May 2025

Systems Registrations Limited

Developer

December 2024

Education

HKU SPACE Po Leung Kuk Stanley Ho Community College

Higher Diploma in Business Management

September 2025 - Current

Tin Shui Wai Government Secondary School

Local Secondary School

September 2019 - July 2025

Banding—

Estimated Next Banding—

Automatic Banding Estimation Visualizer

1. Retrieve Data

Plain HTML data is retrieved from This Website

2. Sorting

Finding data with a pattern such as 1A, 1B-1A. Basically, historical banding.

3. Denoise

Taking out all the non-banding data by comparing them one by one with an array table.

4. Convert

Converting every item to a numerical value.

5. Weight

Since we have the smallest portion of band 1 schools (10%), the biggest portion of band 2 schools (40%), and a decent portion of band 3 schools (30%), we weight them according to their rarity. Score * 0.9 (Hardest to reach) for band 1 schools, Score * 0.6 for band 2 schools, and Score * 0.7 for band 3 schools.

6. Calculation

Dividing the total score to the number of items.

7. Result

8. Categorized

Sorting using colors, green to band 1, yellow for band 2, and red for band 3.

9. Addition

Of course, this is not particularly meaningful, considering that some schools are more A-level or IB-oriented. They might be band 3, but overall, they are better than many schools. Therefore, take the estimation process and result as a demonstration of computational calculation.