Professional Overview
Specialising in LLMs, GenAI, and backend AI development. Experienced in building AI apps with Python, FastAPI, Docker, Git, SQL, Hugging Face Transformers, PyTorch, and cloud technologies. Skilled in prompt engineering, RAG pipelines, LLM evaluation, structured outputs, and AI workflow automation
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built an end-to-end workflow for explainable suburb-level forecasting.
- Analysed 36-month trends and 100+ features driving price and rent forecasts.
- Automated data preparation for stakeholder-facing forecast narratives.
- Built a scalable Google Cloud prototype for explainable AI.
- Developed Python workflows for feature interpretation and AI explanations.
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Developed Power BI dashboards tracking KPIs across sales, operations, and custom
- Supported Azure data projects using ADF, Azure SQL, Synapse, DevOps, and Databri
- Assisted with ETL pipelines for data ingestion, cleansing, validation, and integ
- Automated reporting with Python and SQL, saving 2–4 hours per reporting cycle.
- Supported LLM workflows, prompt engineering, and AI-powered reporting automation
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
