Open to opportunities

Harry Goodman

@harrygoodman

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Machine Learning Engineer and Data Scientist delivering production-grade deep learning and MLOps solutions.

Australia

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What I'm looking for

I seek hands-on ML engineering roles focused on productionising computer vision and MLOps, with collaborative teams, clear CI/CD practices, and measurable business impact.

I am a Machine Learning Engineer and Data Scientist with 4+ years delivering production-grade deep learning, computer vision, and MLOps solutions across Defence and Mining sectors. I specialise in end-to-end systems — from data engineering and ETL, model development in PyTorch and ONNX, to edge deployment using TensorRT and Qualcomm SDKs — and have a track record of improving model performance and operational efficiency.

My work includes building scalable CI/CD and training platforms (MLflow, ClearML, Docker), automating labelling and reporting pipelines, and integrating LLMs for developer tooling. I lead cross-functional teams, communicate complex ML outcomes to stakeholders, and focus on measurable outcomes such as reduced processing time, improved detection F1, and significant reductions in duplicated logic and manual work.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Engineer

Current

BHP

Nov 2024 - Present (11 months)

Designed scalable data-processing pipeline infrastructure supporting seven Digital Twin models and automated daily ML pipelines using AWS SageMaker and MLflow, reducing duplicated logic and improving maintainability and execution reliability.

Python Snowflake AWS Sagemaker MLFlow Streamlit ETL Data Pipelines CI CD

Machine Learning Engineer

Athena AI

May 2023 - Nov 2024 (1 year 6 months)

Developed and deployed computer vision models for real-time edge devices (TensorRT, Qualcomm SDKs), improved detection F1 by 21% while maintaining latency, and built automated auto-labelling and multi-GPU training pipelines to accelerate experimentation.

PyTorch TensorRT Qualcomm Onnx Docker Airflow Auto Labelling

Sessional Academic

University of Queensland

Jan 2019 - Nov 2023 (4 years 10 months)

Tutored undergraduate and postgraduate courses in mathematics, statistics, and machine learning, managed teaching assistants, developed assignments, and received the 2019 Tutor Award for teaching excellence.

Teaching Probability Statistics Machine Learning PyTorch scikit learn Curriculum Development Mentoring

Data Scientist

Coal Network Capacity Co.

Jan 2022 - May 2023 (1 year 4 months)

Applied ML and dynamic simulation to assess train network capacity, implemented CI/CD in Azure DevOps, and optimized ETL and reporting pipelines to reduce computation time by 28% and reporting production time by 65%.

Python Azure DevOps ETL SQL CI CD Optimization

Data Scientist

Biarri

Jan 2021 - Jan 2022 (1 year)

Translated client problems into mathematical optimisation models and ETL pipelines, developed MIP solutions for scheduling and reduced client overtime by 11% through optimized staff rostering.

Optimization Python ETL Operations Research Scheduling SQL

Education

Degrees, certifications, and relevant coursework

University of Queensland

Bachelor of Mathematics / Bachelor of Economics, Mathematics / Economics

2017 - 2020

Grade: GPA 6.53

Activities and societies: Recipient of the 2019 Tutor Award; tutoring undergraduate and postgraduate courses in mathematics, probability, statistics, and computational science.

Completed a combined Bachelor of Mathematics and Bachelor of Economics with strong academic recognition including Dean's Commendations and School Honour Roll.