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Timothy ***** Machine Learning Engineer

$720 / day
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Summary

A seasoned Machine Learning Engineer with a strong academic background, holding a Master’s in Machine Learning and Computer Vision and a Bachelor’s in Computer Science. With extensive experience leading the ML division, excelled in developing a reinforcement learning model that revolutionized financial planning efficiency and managed complex data collection and cloud infrastructure. Previous experience involved training CNN models and applying dimensionality reduction techniques to image datasets. Proficient in Python, Java, and various ML libraries and tools, combining technical expertise with leadership skills, demonstrated through innovative projects.

SKills

AWS (EC2CC++Cloud InfrastructureData Collection and ParsingData ManagementDimensionality Reduction (PCADockerEKS)EMRFlaskGymHuggingfaceICAJavaJavaScriptJupyterKerasLangChainMachine LearningMatplotlibNumPyPandasPillowPythonPyTorchRDSReinforcement LearningResearch and Source Code AnalysisS3SageMakerScikit-LearnSeleniumSQLt-SNE)TableauTensorFlowUMAP
AI ConsultantAI Research ScientistComputer Vision EngineerMachine Learning Engineer

Education

March 2021 - Present Master of Machine Learning and Computer Vision at The Australian National University
March 2016 - Nov 2018 Bachelor of Computer Science at Swinburne University of Technology

Experience

July 2019 - May 2024 Machine Learning Engineer at Milk Chocolate

– Lead the ML division of our business for the last 5 years
– Trained and mentored junior ML engineers
– End-to-end development of a reinforcement learning model
that generates financial plans for our clients
– Developed a custom RL environment that captures all of the
logic related to property portfolios
– Developed a custom RL model to handle invariable actions
– Implemented successful reward, observation shaping
– Deployed model to web application, allowing for a manual
mode, an automated mode, and a hybrid mode
– Final result outperforms manual portfolio produced by our
economist and reduced time from 2 days to < 1 minute
– Implemented scrapers/parsers to collect data for our
business, often which exploit complex Javascript-based
functionality
– Built and oversaw our databases and cloud infrastructure

Jan 2019 - May 2019 Machine Learning Fellow at Fellowship ai

– Trained headless CNN models on CelebA dataset of images
– Used dimensionality reduction methods PCA, UMAP, ICA, t-SNE
to project image clusters in a two-dimensional plane
– Developed a metric to identify image type given a set of
images