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bdsimry/README.md

hi there, i'm brenda! 👋

recent compsci graduate with a double major in AI and Data Science.

"I build things at night and overthink them in the morning."

about me

  • 🎓 BSc (CS) Computer Science (AI & Data Science) @ Swinburne Sarawak.
  • 📍 Based in Malaysia
  • 🔍 Actively seeking opportunities in AI, Machine Learning, and Data Science
  • 🔬 Co-author of research on 3D Forest Segmentation presented at APSIPA ASC 2025

featured projects 🚀

AI-Driven 3D Tree Segmentation

An automated pipeline for 3D semantic and instance segmentation of trees. Developed for my Final Year Project, this research quantified the "Domain Gap" in LiDAR processing for rainforest environments.

Cross-Domain Plant Identification

A research-driven framework using DINOv2 and LoRA fine-tuning. Bridged the domain gap between herbarium data and wild field photos, achieving a 10x accuracy boost on unseen species.

HydroScope: Environmental Data Dashboard

An interactive data visualisation platform built with D3.js. Analyzes 30 years of European water stress dynamics, usage patterns, and resource availability using OECD datasets.

tech stack 💻

code
Python JavaScript SQL/DQL C Tailwind

tools
GitHub PyTorch TensorFlow MySQL PostgreSQL Google Colab Docker React

📫 let's connect!

stats 📊

Brenda's GitHub stats
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  1. dchgoh/FYP-A dchgoh/FYP-A Public

    This project uses AI and 3D point cloud processing to automate tree segmentation and extract key forest inventory data. It enhances forest management by providing insights like tree count, height, …

    Python 1

  2. COS30081_Group9_ML_Project COS30081_Group9_ML_Project Public

    A deep learning framework for cross-domain plant species identification using DINOv2 Vision Transformers, LoRA fine-tuning, and Multi-Task Learning.

    Jupyter Notebook

  3. Two_Stage_Species_Identification_Model Two_Stage_Species_Identification_Model Public

    The AI core of COS30049 CTIP, combining YOLOv8 for species detection and ResNet50 for classification to automate wildlife monitoring and conservation.

    Jupyter Notebook

  4. HydroScope HydroScope Public

    An interactive data visualisation platform exploring freshwater usage, abstractions, and water stress dynamics across Europe (1990–2022) using D3.js and OECD datasets.

    JavaScript

  5. SWE40006_DevOps SWE40006_DevOps Public

    Python