Designed and prototyped an end-to-end time-series explanation workflow for suburb-level forecasting, transforming raw sequential model outputs into structured feature-impact summaries; analyzed 36-month sequences and 100+ demographic/market features to identify periods and variables most strongly influencing price and rent forecasts; designed input formats and data-mapping logic enabling a language model to accurately explain predictions and be accessible to non-technical stakeholders; built a cloud-based prototype on Google Cloud Platform for scalable experimentation, versioning, and future deployment.

Data Annotation Prompt Engineer at Arcanite Research

June 1, 2024 - November 1, 2025

Annotated and analyzed over 10,000+ lines of code to train machine learning models; developed 200+ custom Python-based prompt scenarios and evaluation scripts, including unit tests, to probe and strengthen LLM performance; reviewed and generated 70+ API-based interaction templates to simulate real-world prompt inputs/outputs; created and validated 100+ structured Google Sheets tailored to specific LLM prompts; conducted peer reviews and rated 500+ annotations to refine training datasets and improve model generalisation.

Junior Data Analyst at Data Analytics and Modelling Pty Ltd

December 1, 2023 - Present

Analyzed datasets (10k–80k+ rows) across 5+ small–medium business clients, supporting tracking of sales and operational performance. Built and maintained Power BI dashboards used for monthly reporting, improving visibility into key metrics and reducing reliance on manual spreadsheet tracking. Automated data cleaning and transformation using Python and SQL, cutting preprocessing time by 2–4 hours per dataset across recurring reporting tasks. Standardised column names, date formats, and dataset structures across client data, reducing inconsistencies and eliminating repeated data cleaning across reporting tasks. Identified and resolved data issues, improving the accuracy and reliability of reports used by business stakeholders.

Data Analyst Intern at Data Analytics and Modelling Pty Ltd

September 1, 2023 - November 1, 2023

Cleaned, structured, and validated datasets with ~10k+ records, improving data quality for downstream analysis. Conducted exploratory data analysis on monthly datasets to identify trends, anomalies, and patterns in key metrics. Assisted in automating data cleaning and formatting for monthly datasets (8k–15k rows) using Python, reducing manual preprocessing time by 2–3 hours per dataset and improving consistency across reports. Developed Power BI reports to track monthly performance metrics, helping the team monitor trends and identify inconsistencies.

Prompt Engineer / LLM Evaluator at Freelancer

June 1, 2024 - Present

Completed prompt engineering and model evaluation work for multiple AI clients, focusing on code understanding, reasoning, and API-based interactions. Annotated and analysed 10,000+ lines of code to identify failure cases and improve training dataset quality. Developed 200+ Python-based prompt scenarios and evaluation scripts (including unit tests) to test LLM performance on edge-case reasoning tasks. Designed and reviewed 70+ API interaction templates to simulate real-world prompt inputs and outputs. Created and validated 100+ structured datasets to align prompts, expected outputs, and evaluation criteria across multiple domains. Reviewed and rated 500+ model outputs, identifying weaknesses and improving model generalisation.