About Chantelle

Hi there! I'm a Monash University Computer Science graduate, completed with First Class Honours and an additional year dedicated to explainable AI research. While I loved research, I discovered my passion lies in seeing my projects come to life in the real world. That’s why I've turned to the industry, currently working on software development with React, Flask, PostgreSQL, TypeScript, and Tailwind CSS.

Throughout my internships, I've developed AI software solutions for clients and worked on security monitoring systems. These experiences have provided me with a comprehensive understanding of the technology development lifecycle, its challenges, and its rewards. Eager to stay at the forefront of technology, I've been sharpening my skills on personal projects, especially with the latest updates in NextJS 14, preparing myself for larger-scale enterprise challenges.

I am currently open to new opportunities that offer a rich landscape for learning and growth. Curious about my work? Dive into my project showcase right here on my site or my Github for more!

Resume

What I use

TailwindTailwindTailwindTailwindTailwindTailwindTailwindTailwindTailwindTailwindTailwindTailwindTailwindTailwindTailwind
GSAPGSAPGSAPGSAPGSAPGSAPGSAPGSAPGSAPGSAPGSAPGSAPGSAPGSAPGSAP
PrismicPrismicPrismicPrismicPrismicPrismicPrismicPrismicPrismicPrismicPrismicPrismicPrismicPrismicPrismic
Next.jsNext.jsNext.jsNext.jsNext.jsNext.jsNext.jsNext.jsNext.jsNext.jsNext.jsNext.jsNext.jsNext.jsNext.js

Experience

Full Stack Developer

Dec 2023 - Present / Ventionex

Tech Stack: React (Redux, Rxjs, TypeScript), Flask, Docker, Flyway, AWS EC2.

Achievements:

  • Developed a modular Central Control System (CCS) for IoT security, ensuring swift deployment and scalability.
  • Facilitated cloud-based deployment using AWS EC2 for enhanced system flexibility.

AI Developer

Nov 2021 - Feb 2022 / Dah Reply AI

Tech Stack: PyTorch, GitHub CI/CD, AWS (Sagemaker, S3, API Gateway, Lambda).

Achievements:

  • Engineered a Gift Recommendation System enhancing client engagement through collaborative filtering and content-based algorithms.
  • Implemented a cost-efficient AWS architecture, achieving a 15% reduction in operational costs.

Project Manager

Aug 2021 - Sep 2022 / School of Medicine, Monash

Tech Stack: React, Django, Figma (for MVP wireframes).

Achievements:

  • Assisted in leading a team to develop a responsive vaccination tracking web application for over 1,500 medical students, securing RM10,000 in funding.
  • Successfully guided the project through its beta phase with effective management, client engagement, and agile methodologies.

Education

Bachelor of Computer Science (Honours)

Oct 2019 - Nov 2024 (Convocation) / Monash University

Awarded: First Class Honours

Modules:

  • Final Year Project - Universal Adversarial Perturbation on Microexpression Recognition (Pytorch)
  • Honours Research - Explainable AI on Breast Cancer Histological Classification (Pytorch)
  • Databases (SQL, Oracle, Entity Relation Diagrams)
  • Object Oriented Design (Java, UML Diagrams, SOLID Principles)
  • Software architecture (SpringBoot, VueJS, UML Diagram, Design Patterns)
  • Algorithm and Data Structure (Python, Dynamic Programming, Graph and Networks)
  • Data Visualisation (Tableau, Vegalite)
  • Data Science (Python [pandas, numpy, anaconda], R, Unix)
  • Data Modelling (R)