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Mathew Wicks Email & Phone Number

AI Platforms - Kubernetes, SLURM at NVIDIA
Location: Redwood City, California, United States 8 work roles 1 school
1 work email found @kpmg.com 1 phone found area 201 LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 1 phone

Work email m****@kpmg.com
Direct phone (201) ***-****
LinkedIn Profile matched
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Current company
Role
AI Platforms - Kubernetes, SLURM
Location
Redwood City, California, United States
Company size

Who is Mathew Wicks? Overview

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Quick answer

Mathew Wicks is listed as AI Platforms - Kubernetes, SLURM at NVIDIA, a company with 41500 employees, based in Redwood City, California, United States. AeroLeads shows a work email signal at kpmg.com, phone signal with area code 201, and a matched LinkedIn profile for Mathew Wicks.

Mathew Wicks previously worked as Founder and Lead Engineer at Aranui Solutions and Open Source - Lead Maintainer at Kubeflow. Mathew Wicks holds Bachelor Of Science - Bs, Physics And Computer Science from The University Of Auckland.

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Email format at NVIDIA

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{first_initial}{last}@kpmg.com
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Profile bio

About Mathew Wicks

Mathew's work enables countless organizations to run AI/ML workloads on Kubernetes. He is known for leading popular open-source projects like Kubeflow, Airflow (Helm Chart), and deployKF. A trusted advisor to many, he has built a reputation for excellence in Software Engineering and DevOps.

Listed skills include Machine Learning, Public Speaking, Data Analysis, Apache Spark, and 6 others.

Current workplace

Mathew Wicks's current company

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NVIDIA
Nvidia
AI Platforms - Kubernetes, SLURM
Redwood City, CA, US
Website
Employees
41500
AeroLeads page
8 roles

Mathew Wicks work experience

A career timeline built from the work history available for this profile.

Ai Platforms - Kubernetes, Slurm

Redwood City, CA, US

Founder And Lead Engineer

Current

Redwood City, CA, US

Aranui Solutions powers the world's AI/ML platforms. Mathew started Aranui Solutions to share his expertise and enable organizations to run AI/ML workloads on Kubernetes.Reach out to Mathew for:➤ Professional Services (MLOps, Kubernetes, Airflow)➤ deployKF Enterprise

Apr 2021 - Present

Open Source - Lead Maintainer

Current

Sunnyvale, CA, US

➤ Mathew leads the development of Kubeflow Notebooks in technical and community roles.➤ Designed Notebooks 2.0, currently leading a team of 10+ engineers to ensure its delivery.➤ Built AI Container Images for PyTorch, TensorFlow, and CUDA. Downloaded 10M+ times.➤ Mentored junior engineers as part of the Google Summer of Code.

Aug 2020 - Present

Open Source - Project Founder

Current

Redwood City, CA, US

➤ deployKF builds AI/ML platforms on Kubernetes. ➤ Mathew created deployKF so everyone can build an AI/ML platform on Kubernetes, without a team of experts. It automates extremely complex DevOps tasks.

Jun 2023 - Present

Open Source - Helm Chart Maintainer

Current

➤ Mathew maintains the Airflow Helm Chart, which runs Airflow on Kubernetes.➤ Trusted by countless organizations for their most important data workloads, this deployment tool has been downloaded over 7 million times as of November 2024.

Nov 2020 - Present

Senior Software Engineer, Data

Melbourne, Victoria, AU

➤ As a Consultant and Senior Engineer, Mathew delivered impactful data and machine learning solutions for customers.➤ Led the development of, and successfully delivered, a GCP-based analytics platform for a major construction firm using Kubernetes, Kubeflow, and Airflow.➤ Built a real-time transaction monitoring system for a major gaming company using AWS.

Oct 2019 - Mar 2021

Machine Learning Engineer, Platform

Auckland, NZ

➤ As a Machine Learning Engineer, Mathew empowered his team to deliver industry-leading data and machine learning projects.➤ Architected, deployed, and maintained the bank’s data science platform, providing tools like Hadoop, Spark, Airflow, Jupyter, RStudio, Zeppelin and Hive.➤ Automated training data ingestion with systems to handle schema evolution.

Feb 2018 - Sep 2019

Data Scientist

Toronto, ON, CA

➤ As a Consultant and Data Scientist, Mathew delivered machine learning solutions for a diverse range of customers.➤ Developed an ad-targeting system using deep-learning for a large digital media company powered by TensorFlow and Spark.➤ Architected, deployed, and maintained KPMG’s on-premises data platform, enabling rapid experimentation with new tools.

Dec 2015 - Dec 2017
Team & coworkers

Colleagues at NVIDIA

Other employees you can reach at nvidia.com. View company contacts for 41500 employees →

1 education record

Mathew Wicks education

  • The University Of Auckland
    The University Of Auckland
    Physics And Computer Science
FAQ

Frequently asked questions about Mathew Wicks

Quick answers generated from the profile data available on this page.

What company does Mathew Wicks work for?

Mathew Wicks works for NVIDIA.

What is Mathew Wicks's role at NVIDIA?

Mathew Wicks is listed as AI Platforms - Kubernetes, SLURM at NVIDIA.

What is Mathew Wicks's email address?

AeroLeads has found 1 work email signal at @kpmg.com for Mathew Wicks at NVIDIA.

What is Mathew Wicks's phone number?

AeroLeads has found 1 phone signal(s) with area code 201 for Mathew Wicks at NVIDIA.

Where is Mathew Wicks based?

Mathew Wicks is based in Redwood City, California, United States while working with NVIDIA.

What companies has Mathew Wicks worked for?

Mathew Wicks has worked for Nvidia, Aranui Solutions, Kubeflow, Deploykf, and Apache Airflow.

Who are Mathew Wicks's colleagues at NVIDIA?

Mathew Wicks's colleagues at NVIDIA include Walter Pincay, Vaishnavi Chauhan, Melissa Li, Drew Kersnar, and C Cui.

How can I contact Mathew Wicks?

You can use AeroLeads to view verified contact signals for Mathew Wicks at NVIDIA, including work email, phone, and LinkedIn data when available.

What schools did Mathew Wicks attend?

Mathew Wicks holds Bachelor Of Science - Bs, Physics And Computer Science from The University Of Auckland.

What skills is Mathew Wicks known for?

Mathew Wicks is listed with skills including Machine Learning, Public Speaking, Data Analysis, Apache Spark, Big Data, Tensorflow, Python, and Web Development.

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