HI! I'm

With a passion for coding and a interest in AI & ML, I enjoy crafting and participating in innovative solutions and teams that push boundaries and deliver impact.

About Me

Dong Luanjie

Hello! I’m an Information Systems undergraduate at Singapore Management University, specializing in Artificial Intelligence and Business Analytics. Alongside my focus on AI, I have a strong foundation in full-stack development, enabling me to bridge the gap between data-driven insights and user-centric applications.

Throughout my journey, I’ve worked on diverse projects—from designing and deploying machine learning models for predictive analytics to developing dynamic, data-driven web applications. Collaborating with cross-functional teams, I’ve delivered impactful solutions that leverage cutting-edge technologies to solve real-world challenges.

My goal is to grow as a Machine Learning Engineer with a strong full-stack foundation, creating intelligent systems and applications that empower users and drive transformative change.

Technical Skills

Frontend

Javascript

Javascript

HTML

HTML

CSS

CSS

React

React

VUE

VUE

WordPress

WordPress

Backend

PHP

PHP

Python

Python

MySQL

MySQL

BigQuery

BigQuery

Docker

Docker

AWS

AWS

Azure

Azure

Kubernetes

Kubernetes

Kong

Kong

MongoDB

MongoDB

Machine Learning

Tableau

Tableau

TensorFlow

TensorFlow

Pandas

Pandas

Scikit-learn

Scikit-learn

R

R

Experience

May 2025

Data Science Intern

KPMG

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September 2024

Research Intern

SMART M3S

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July 2024

Software Engineer Intern

EngageNova

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Projects

ESGeePeeTee Thumbnail

ESGeePeeTee

Full-Stack

Developed during Nomura AI Hackathon 2024, ESGeePeeTee is an ESG analysis tool that incorporates real-time news data from GDELT with AutoGluon, an automated multi-layered stack-ensembling ML library. It allows for a powerful, unbiased, and accurate ESG score prediction capabilities.

Skills:

  • Javascript
  • HTML
  • CSS
  • React
  • Python
  • TensorFlow
  • Pandas
  • Scikit-learn
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CrowdSight Thumbnail

CrowdSight

Full-Stack

Developed for Ellipsis X HST Tech Series Hackathon 2024, CrowdSight is a prototype that enables event organizers to model their event locations and use CCTV footage to visualize crowd density along predetermined exit routes.

Skills:

  • Javascript
  • HTML
  • CSS
  • React
  • Python
  • TensorFlow
  • Pandas
  • Scikit-learn
Learn More
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NUS Rightship Hackathon 2025

Data Science

Developed an AI-driven solution to reduce subjectivity in PSC severity scores using Generative AI and AutoML, securing 1st place at the Maritime Hackathon 2025.

Skills:

  • Python
  • Pandas
Learn More
View all Projects →

Get in Touch

Feel free to reach out! I’d love to hear about innovative and challenging opportunities!