Matthew Blasa

LinkedIn

Contractor

Aspire360

Lead Data Scientist (Consultant)

Data Scientist & ML Engineer Consultant 

The Home Depot

Senior Data Scientist

Brinks Home Security

Solutions Architect- Analytics Center of Excellence 

edison.ai

Ruffalo Noel Levitz

Senior Data Strategist

Data Strategist 

Carrefour

Lead Analytics Engineer

University of Southern California

Senior Data Analyst

J.P. Morgan Private Bank

Data Analyst

Bridging the gap between data scientists and the business.

Learn more: 
AI Product and Strategy Substack:  https://datalife360.substack.com/
Pragmatic Data Scientist: https://pragmaticdatascientist.substack.com/
Linkedin Learning: https://shorturl.at/hg0Bc

Strategy Consultant

Interested in a discovery session?
email: info@aspire360.ai or DM me for more information.

Atlassian

Building Atlassian’s GenAI and agent platform.

Senior Machine Learning Engineer

H2O.ai

Leading GenAI and ML projects with enterprise partners in ANZ.

Nearmap

Training deep learning models to power Nearmap's suite of geospatial products.

Senior Deep Learning Scientist

Woolworths Group

Building the cost to serve data platform nationwide.

Max Kelsen

Building data and machine learning pipelines to train and serve models for supply chain efficiency in the healthcare sector.

Senior Computer Vision Engineer

Machine Learning Engineer

Xailient

Customising embedded deep learning algorithms to run on edge devices.

Computer Vision and Machine Learning Engineer

I am a machine learning engineer, strong in deep learning.

I started my career doing embedded computer vision at Xailient and worked with clients like Sony and Maxim Integrated to develop custom deep learning algorithms designed for their chips.

At Max Kelsen, I worked on SAVI, a product used by Fortune 500 companies like Johnson and Johnson to streamline surgical equipment supply chain workflows in their warehouses.

At Woolworths Group, I worked on building data pipelines for the cost to serve capability nationwide. I also built tools to optimize the number of items in a carton by simulating what would happen if it was varied.

I then spent some time at Nearmap training deep computer vision models on large scale data for semantic segmentation to power Nearmap’s suite of geospatial products.

At H2O.ai, I’m co-creating ML and GenAI products  with enterprise partners to drive business value.

I like to stay curious and up to date with the latest advancements in the field by reading papers and participating in ML competitions.

Yousef Rabi

taplio

The Battle

Matthew Blasa

Yousef Rabi

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