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Stephaniew1/README.md

Hi there, I'm Stephanie 👋

I'm a Machine Learning Engineer based in Melbourne, currently leading research into the productionisation of an agentic chatbot at FocusBear. I hold a Bachelor of Applied Data Science from Monash University.

I care about building ML systems that solve real problems for real users, with a strong preference for code-owned, transparent architectures over black-box platforms.

What I work on

  • Applied ML and MLOps: retrieval-augmented generation, LLM orchestration, batch inference pipelines, model evaluation
  • Healthcare and scientific computing: ICU mortality prediction, molecular image analysis, climate driver modelling
  • Production ML systems: CLI packaging, Docker, testing, architecture documentation

Tech stack

Languages: Python, SQL, R ML and DL: PyTorch, scikit-learn, HuggingFace Transformers, LangChain, LangGraph, LlamaIndex, FAISS Data and viz: pandas, NumPy, Plotly, Tableau, Power BI Tooling: Docker, Git, Streamlit, Google Cloud

Featured projects

Deep Learning for Sequential Data

PyTorch implementations of RNN, GRU, LSTM, and BERT for NLP question classification. Includes a from-scratch RNN built on raw tensor operations, a configurable BaseRNN with multiple pooling strategies, and fine-tuned BERT on the TREC dataset.

ICU Patient Mortality Predictor

Machine learning model predicting ICU mortality risk from the five most clinically critical vital signs. Achieved ROC-AUC of 0.75 to 0.82 with an emphasis on interpretability for clinical decision support.

Counting Molecules

Computer vision pipeline for automated counting and classification of molecule species from STM imaging data. Combined binarisation, blob detection, and scikit-learn classifiers to reduce manual inspection effort by 40 to 50 percent.

Modelling Climate Drivers

Descriptive analysis and modelling of climate variables, developed during my CSIRO Aspendale placement. Contributed to a roughly 30 percent reduction in pipeline processing errors.

Invisible Disability Assistant: Nairobi Transport AI

Bilingual English and Swahili RAG assistant for navigating Nairobi's Matatu network. Built with FAISS, HuggingFace, ChatGroq, and deep-translator, with a conceptual offline GPT-2 extension for low-connectivity areas.

Connect

Open to Data Science, Machine Learning Engineering, and Data Engineering roles.

Pinned Loading

  1. Birthday-Invite Birthday-Invite Public

    interactive web-based party invite app with chatbot-style RSVPs and automated calendar invites. Built for a surprise birthday party before Apple launched Apple Invites

    Python

  2. Counting-Molecules Counting-Molecules Public

    Computer vision pipeline that automates molecule counting and classification from Scanning Tunneling Microscope (STM) imaging data. Built with scikit-image, OpenCV, and scikit-learn for a Monash da…

    Jupyter Notebook

  3. deep-learning-sequential-data deep-learning-sequential-data Public

    PyTorch implementations of RNN, GRU, LSTM, and BERT-based models for NLP question classification. Includes a from-scratch RNN forward pass, configurable BaseRNN with pooling strategies, and fine-tu…

    HTML

  4. ICU-project ICU-project Public

    Develop a model to predict patient mortality rate by analyzing the five most important vital signs of ICU patients

    Jupyter Notebook

  5. Stock-Portfolio-Optimization Stock-Portfolio-Optimization Public

    In this project, we perform an in-sample optimization of trading portfolios, based on the stocks which have been in the S and P 500 in the last 16 years.

    Jupyter Notebook