Senior Machine Learning Engineer
Current
May 2024 - Present
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Leo Neat Email & Phone Number
Senior Machine Learning Engineer
at
Strava
LinkedIn matched
✓ Verified May 2026
3 data sources
Profile completeness 86%
Current company
Role
Senior Machine Learning Engineer
Location
San Francisco Bay Area, United States, United States
Company size
Who is Leo Neat? Overview
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Quick answer
Leo Neat is listed as Senior Machine Learning Engineer at Strava, a company with 239 employees, based in San Francisco Bay Area, United States, United States. AeroLeads shows a matched LinkedIn profile for Leo Neat.
Leo Neat previously worked as Senior Software Engineer at Youtube and Software Engineer at Youtube. Leo Neat holds Bachelor Of Engineering, Computer Science, 3.88 from University Of California, Santa Cruz - Jack Baskin School Of Engineering.
Company email context
Email format at Strava
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Strava
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Profile bio
About Leo Neat
I am an innovative programmer and I love what I do. I have proven experience in academia, government, startup, and corporate settings. I thrive in a fast paced environment and am not afraid to shoot for the moon. I have lead projects that have saved NASA thousands of dollars, improved mobile indoor navigation for the visually impaired, and been a core engineer of the YouTube Autoplay algorithm impacting billions of YouTube Users. I currently work on Machine Learning at Strava expressing my passions for Artificial Intelligence and Endurance Sports.
Current workplace
Leo Neat's current company
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Strava
10 roles
Leo Neat work experience
A career timeline built from the work history available for this profile.
Senior Software Engineer
Apr 2024 - May 2024
Jun 2021 - May 2024
Senior Software Engineer
Apr 2024 - May 2024
Software Engineer
Sep 2019 - May 2024
Engineering Resident
Sep 2019 - Jul 2020
Research Associate
Working for the UC Santa Cruz Computer Vision Lab developing Assisitve Technology for the visually impaired.
Jul 2019 - Sep 2019
Computer Vision Lab Assistant
- I worked with professor Roberto Manduchi in developing assistive technology for the blind. We are developed an Android application that will help blind people identify the location and content of text around them.
- Developed an Android application that is used to test and compare the inference speed of TensorFlowLite models on mobile devices
- Studied the costs and benefits of on-board vs. server side inference for mobile Convolutional NeuralNetworks
- Responsible for… Show more I worked with professor Roberto Manduchi in developing assistive technology for the blind. We are developed an Android application that will help blind people identify the location and.
- Responsible for the development of an Android application to be used by the visually impaired toidentify text in their surroundings. Application streams image data from the phone’s camera to aLinux server which returns.
Dec 2016 - Sep 2019
Algorithms Software Intern
- Responsible for developing an Android application that allows users to quickly offload data from Aquifi devices to different servers for quality assurance, regression testing, training, etc...
- Wrote, tested, and modified system level camera code that ended up in production
- Developed an algorithm to detect corrupted frames in camera streams and recover the streams if necessary
Jun 2018 - Sep 2018
Software Intern
- I spent 4 summers at JPL working as a software intern. Software and Hardware Testbed Development Intern Summer 2017
- Designed and built a camera characterization system for EMCCD camera evaluation using an Androidphone to emulate a star.
- The camera characterization system is currently being used by different teams at NASA for spaceflight detector evaluationComputer Vision Intern Summer 2016
- Wrote code that implemented OpenCV’s tracking methods in order to… Show more I spent 4 summers at JPL working as a software intern. Software and Hardware Testbed Development Intern Summer 2017
- Wrote code that implemented OpenCV’s tracking methods in order to determine cloud heights fromMISR (Multi-angle Imaging SpectroRadiometer) satellite images
- Researched different forms of feature detection and optical flow in order to solve a stereo problemapparent in MISRs imagesSoftware and Hardware Intern for Optical Systems Summer 2015
Jun 2014 - Sep 2017
Team & coworkers
Colleagues at Strava
Other employees you can reach at strava.com. View company contacts for 239 employees →
CL
Cheryl Linda
Colleague at Strava
Potwin, Kansas, United States, United States
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SL
Shuyi Li
Colleague at Strava
Greater Phoenix Area, United States
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VC
Victor Cletus
Colleague at Strava
Lagos, Lagos State, Nigeria, Nigeria
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SF
Sirio Fortebraccio Mastrini
Colleague at Strava
Greater La Spezia Metropolitan Area, Italy
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PB
Phil Bellamy
Colleague at Strava
Chamonix-Mont-Blanc, Auvergne-Rhône-Alpes, France, France
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SG
Sydney Gidabuday
Colleague at Strava
Lafayette, Colorado, United States, United States
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DV
Darren Vay
Colleague at Strava
Millbrae, California, United States, United States
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RS
Renee Swischuk
Colleague at Strava
Colorado Springs, Colorado, United States, United States
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BT
Brian T. Miller
Colleague at Strava
Portland, Oregon, United States, United States
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KC
Kyle Clark
Colleague at Strava
Oakland, California, United States, United States
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Cheryl Linda
Colleague at Strava
Potwin, Kansas, United States, United States
View →
SL
Shuyi Li
Colleague at Strava
Greater Phoenix Area, United States
View →
VC
Victor Cletus
Colleague at Strava
Lagos, Lagos State, Nigeria, Nigeria
View →
SF
Sirio Fortebraccio Mastrini
Colleague at Strava
Greater La Spezia Metropolitan Area, Italy
View →
PB
Phil Bellamy
Colleague at Strava
Chamonix-Mont-Blanc, Auvergne-Rhône-Alpes, France, France
View →
SG
Sydney Gidabuday
Colleague at Strava
Lafayette, Colorado, United States, United States
View →
DV
Darren Vay
Colleague at Strava
Millbrae, California, United States, United States
View →
RS
Renee Swischuk
Colleague at Strava
Colorado Springs, Colorado, United States, United States
View →
BT
Brian T. Miller
Colleague at Strava
Portland, Oregon, United States, United States
View →
KC
Kyle Clark
Colleague at Strava
Oakland, California, United States, United States
View →
2 education records
Leo Neat education
Bachelor Of Engineering, Computer Science, 3.88
High School Diploma, 4.14
FAQ
Frequently asked questions about Leo Neat
Quick answers generated from the profile data available on this page.
What company does Leo Neat work for?
Leo Neat works for Strava.
What is Leo Neat's role at Strava?
Leo Neat is listed as Senior Machine Learning Engineer at Strava.
Where is Leo Neat based?
Leo Neat is based in San Francisco Bay Area, United States, United States while working with Strava.
What companies has Leo Neat worked for?
Leo Neat has worked for Strava, Youtube, Google, University Of California, Santa Cruz - Jack Baskin School Of Engineering, and Aquifi, Inc.
Who are Leo Neat's colleagues at Strava?
Leo Neat's colleagues at Strava include Cheryl Linda, Shuyi Li, Victor Cletus, Sirio Fortebraccio Mastrini, and Phil Bellamy.
How can I contact Leo Neat?
You can use AeroLeads to view verified contact signals for Leo Neat at Strava, including work email, phone, and LinkedIn data when available.
What schools did Leo Neat attend?
Leo Neat holds Bachelor Of Engineering, Computer Science, 3.88 from University Of California, Santa Cruz - Jack Baskin School Of Engineering.
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