Leo Parker Dirac
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Leo Parker Dirac Email & Phone Number

Building Computer Vision that "just works" for commercial, industrial, and robotics applications. at Groundlight AI
Location: Seattle, Washington, United States 8 work roles 2 schools
1 work email found @real.com LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

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Current company
Role
Building Computer Vision that "just works" for commercial, industrial, and robotics applications.
Location
Seattle, Washington, United States

Who is Leo Parker Dirac? Overview

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Quick answer

Leo Parker Dirac is listed as Building Computer Vision that "just works" for commercial, industrial, and robotics applications. at Groundlight AI, based in Seattle, Washington, United States. AeroLeads shows a work email signal at real.com and a matched LinkedIn profile for Leo Parker Dirac.

Leo Parker Dirac previously worked as CTO and Co-Founder at Groundlight Ai and Senior Principal Engineer at Amazon. Leo Parker Dirac holds Bs, Applied Physics from Harvey Mudd College.

Company email context

Email format at Groundlight AI

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*@real.com
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AeroLeads found 1 current-domain work email signal for Leo Parker Dirac. Compare company email patterns before reaching out.

Profile bio

About Leo Parker Dirac

Slamming my foot down on the accelerator pedal of technological development.Helping accelerate the adoption of AI to solve society's problems. Pushing the second or third derivative of progress.Please don't message me here if you actually want me to read your note -- signal/noise ratio way too low. Visit http://leodirac.com/contact for instructions.Since 2012 I've devoted myself to understanding and deploying deep learning, having understood its potential from as soon as AlexNet won the ImageNet competition. At Amazon I spent many years building world-class infrastructure to enable machine learning in general, understanding the ML+Engineering systems interactions as well as anybody anywhere. On ML science, I read a lot of papers and publish little. I maintain research-level expertise in AutoML (Bayesian optimization, meta-learning, hyperparameter tuning, neural architecture search, etc.) and neural network training (non-convex optimization, geometry of loss surfaces, distributed training algorithms). I also have a working practical working knowledge of reinforcement learning, computer vision, natural language processing, active learning, representation learning, and adversarial techniques. I tend to dive into topics that I think have high leverage to improve the world.

Listed skills include Mobile Devices, Software Development, Scalability, Distributed Systems, and 22 others.

Current workplace

Leo Parker Dirac's current company

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Groundlight AI
Groundlight Ai
Building Computer Vision that "just works" for commercial, industrial, and robotics applications.
AeroLeads page
8 roles · 31 years

Leo Parker Dirac work experience

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

Cto And Co-Founder

Current

Seattle, Washington, US

Training robots to understand the world around them using modern AI. Building an amazing team.(Company was formerly known as Positronix.)

2020 - Present ~6 yrs 4 mos

Senior Principal Engineer

Seattle, WA, US

I joined Amazon with the personal mission of bringing deep learning to Amazon. In 2013 this was a crazy idea, and while I can hardly take credit for the obvious eventual success, I personally accomplished a number of important and highly profitable things along the way.1. Applied Science: I kicked off Amazon's first deep learning projects for product.

2013 - 2019 ~6 yrs

Secretary Of The Board Of Directors

Blue Nile Children'S Organization

BNCO is a small 501c3 that supports orphaned children in Ethiopia through direct sponsorships and by operating a community medical clinic. For more info see http://bluenile.org/

2010 - 2017 ~7 yrs

Director Of Technology

Seattle, WA, US

Built technology to support a large team of social media analysts.

2010 - 2012 ~2 yrs

Product Manager

Mountain View, CA, US

Launched Google's video chat service. Drove integration of instant messaging with mobile.

2007 - 2010 ~3 yrs

Director Of Technology, Rhapsody Online

Seattle, WA, US

Led a cross-functional team to rebuild Rhapsody's win32 client as an online music streaming site, which back then was still a pretty novel thing.

2003 - 2007 ~4 yrs

Software Engineer

Presence Information Design

Back in the very early days of the web, we built sites that were very advanced for the time like e-commerce systems and maps you could scroll in your browser.

1996 - 1997 ~1 yr

Software Developer

Gordian
1995 - 1996 ~1 yr
2 education records

Leo Parker Dirac education

Bs, Applied Physics

Harvey Mudd College

Mba, Entrepreneurship

University Of Washington
FAQ

Frequently asked questions about Leo Parker Dirac

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

What company does Leo Parker Dirac work for?

Leo Parker Dirac works for Groundlight AI.

What is Leo Parker Dirac's role at Groundlight AI?

Leo Parker Dirac is listed as Building Computer Vision that "just works" for commercial, industrial, and robotics applications. at Groundlight AI.

What is Leo Parker Dirac's email address?

AeroLeads has found 1 work email signal at @real.com for Leo Parker Dirac at Groundlight AI.

Where is Leo Parker Dirac based?

Leo Parker Dirac is based in Seattle, Washington, United States while working with Groundlight AI.

What companies has Leo Parker Dirac worked for?

Leo Parker Dirac has worked for Groundlight Ai, Amazon, Blue Nile Children'S Organization, Banyan Branch, and Google.

How can I contact Leo Parker Dirac?

You can use AeroLeads to view verified contact signals for Leo Parker Dirac at Groundlight AI, including work email, phone, and LinkedIn data when available.

What schools did Leo Parker Dirac attend?

Leo Parker Dirac holds Bs, Applied Physics from Harvey Mudd College.

What skills is Leo Parker Dirac known for?

Leo Parker Dirac is listed with skills including Mobile Devices, Software Development, Scalability, Distributed Systems, Mobile Applications, Product Management, Data Analysis, and Agile Methodologies.

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