Ryan Gani

Software Engineer | Data Analytics | Cloud Infrastructure

Data Engineering @ CityU HK

About

Sumary

Ryan Gani

Indonesian-native Data Engineering student with a passion for technology and people.

Main interests: Software Engineering, Web Application Development (Full-Stack), Data Engineering/Science, DevOps, Cloud Infrastructure, and Software Project Management

Education

Data & Systems Engineering

2020 - 2024

City University of Hong Kong, HK

Bachelor of Engineering School of Data Science
Top Scholarship for International Students Award (2020 - 2024)

Leadership

Executive Committee

Nov 2020 - Present

Indonesian Students' Association in Hong Kong

Youth and Sports Division
Website

Experience

Cloud Infrastructure Engineer Intern

June 2022 - August 2022

Societe Generale, Hong Kong

Platform Team - Global Technology Services Department

Software Engineer Intern

Mar 2022 - May 2022

Thales Group, Hong Kong

Support prototype and software development with a priority on Visualization and User Interface related requirement under the Research Technology and Innovation Division.

Tech stack:

  • React, TypeScript

Software Engineer Intern

Jun 2021 - Jan 2022

TRAILME - uHey Limited, Hong Kong

Launched the first release of TRAILME TM, inventory management full stack application built for internal use.

Tech stack:

  • Frontend: HTML/CSS, JavaScript, JQuery, Bootstrap5
  • Backend: Node.js, Express
  • Database: MongoDB, S3
  • Deployment: Serverless, AWS

Personal Projects

Showcase of my previous works

healthproject

TRAVL App

A full stack web application using the MERN stack (MongoDB, Express, React, Node) and Chakra UI where users can explore travel destinations around the world.

Github Link
healthproject

Health

A Hospital Information/Management System App used for doctors, hospital administration, and patients

Demo
Github Link
healthproject

Fraud Detection

SDSC 2001 Python for Data Science
Final course project
Detect fraudulent and non-fraudulent transactions from a given dataset that was taken from Kaggle

Github Link