Consulting Applied Scientist - Computer Vision And Recommendations
Hardenburg Ai
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Brian Hardenstein Email & Phone Number
Consulting Applied Scientist - Computer Vision and Recommendations
at
Hardenburg AI
2 work emails found
@gumgum.com
7 phones found area 415, 925, and 303
LinkedIn matched
✓ Verified Jul 2026
4 data sources
Profile completeness 100%
Current company
Role
Consulting Applied Scientist - Computer Vision and Recommendations
Location
Los Angeles, California, United States
Who is Brian Hardenstein? Overview
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Quick answer
Brian Hardenstein is listed as Consulting Applied Scientist - Computer Vision and Recommendations at Hardenburg AI, based in Los Angeles, California, United States. AeroLeads shows a work email signal at gumgum.com, phone signal with area code 415, 925, 303, and a matched LinkedIn profile for Brian Hardenstein.
Brian Hardenstein previously worked as Principal Applied Scientist - Computer Vision at Zelig Technology and Senior Applied Scientist - Computer Vision at Zelig Technology. Brian Hardenstein holds Certificate, Data Science from Galvanize Inc.
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{first}@gumgum.com
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AeroLeads found 2 current-domain work email signals for Brian Hardenstein. Compare company email patterns before reaching out.
Profile bio
About Brian Hardenstein
* Technical leader of science and engineering teams* Working with product to define requirements and criteria for success then distilling into project plans and timelines.* Shepherding ML projects end-to-end from inception to production at scale* Principal individual contributor breaking new ground while also keeping a portfolio of projects on track* Establishing interview and hiring practices to make better hires* Strategic vision to see business opportunities and risks
Listed skills include Machine Learning, Data Science, Numpy, Cisco Technologies, and 24 others.
Current workplace
Brian Hardenstein's current company
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17 roles
Brian Hardenstein work experience
A career timeline built from the work history available for this profile.
Consulting Applied Scientist - Computer Vision And Recommendations
Consulting Applied Scientist - Computer Vision And Recommendations
Consulting Applied Scientist - Computer Vision And Recommendations
Principal Applied Scientist - Computer Vision
Senior Applied Scientist - Computer Vision
Lead Computer Vision Scientist
Computer vision for images and video:* brand safety / content moderation for images* brand safety and contextual targeting in long form video content* several models to production at millions of API calls per day scale, 250k hours of long form content processed.* scene detection in long form video - significant R&D improving current SOA* Working with data curation team to make guidelines, build and clean datasets* Working with product teams to frame and define problems for the science team to solve* Lead of computer vision team, built team from 1 scientist to 4.* Creative and relentless problem solver to ensure project success as well as best customer experience.* Innovative best in class visualizations including video rendering for demos and debugging.
May 2021 - 2023
Machine Learning Engineer, Computer Vision
May 2020 - May 2021
Lead Machine Learning Engineer, Computer Vision
Leading the computer vision machine learning practice for Macy's Tech. Solving business problems with R&D and model training.* Lead a project to completion for retail fashion visual similarity at scale. (See previous position experience for details.)* Supervised the development and designed the UX for a web based data annotation tool. Through user sessions developed UX optimizations that increased productivity by 5x for the same amount of time.* Mentored ML Engineers of different levels. Also performed knowledge transfers for a range of audiences from non technical business partners to other ML Engineers and Data Scientists.* Lead R&D for boundary boxing prototypes for fashion editorial images, locating and classifying fashion items in user generated photos.* Lead R&D for using convolutional autoencoders as rich feature extractors with a small representational size.* Performed R&D for fashion image segmentation and masking.* Wrote several Python packages to perform a variety of tasks from efficiently loading, transforming, and augmenting images to generating PDF contact sheets for visual model evaluation. Also wrote packages for production grade API's doing real-time calculations for image similarity.
Jun 2019 - May 2020
Data Scientist / Machine Learning Engineer
* Lead project from R&D to production using convolutional neural networks (CNN) in a fashion retail environment to make visually similar recommendations. * Worked with product managers and merchants to develop business requirements. * Evaluated candidate models with business stakeholders and shepherded the project through experimentation and customer facing evaluation. * Wrote production grade python packages for image ETL, training, inference, and live recommendation calculation.* Optimized recommendation python code for 4ms API response time on Dockerized Kubernetes clusters on Google Cloud nodes.* Successfully deployed a scalable and reliable RESTful API that served 500M recommendations through Black Friday traffic loads on the 7th largest (USA, by sales) retail website.
Jul 2018 - Jun 2019
Network Consulting Engineer
Lead NCE of several Cisco Advanced Services accounts of moderate to large size.Coordinated and represented multiple internal network engineers as the primary client-facing engineer; kept projects on schedule while exceeding client expectations.Delivered quarterly business review presentations with senior client management and engineers.Educated clients on best practices, security audits, network architecture, as well as emerging technologies.Supported 3000+ node network refresh for a large retail client. Provided design and configuration, proof of concept, pilot validation, and support during rollout into production environment.
Jan 2013 - Sep 2016
Network Engineer
Troubleshooted live customer issues relating to Cisco IOS as well as performance issues on network devices.Won 3 quarterly customer service awards due to highest average customer survey scores for respective quarters as well as 2 innovation quarterly awards.Created external web docs to document commonly encountered customer issues. Example with 24k views: https://goo.gl/NaaViH
Aug 2010 - Jan 2013
Network Engineer
Aug 2005 - Jun 2010
Senior Network Engineer
Hardrock Network Engineering
Sep 2000 - Apr 2002
Network Engineer
Jan 2000 - Sep 2000
Network Engineer
Jan 1999 - Dec 1999
Network Engineer - Intern
Jun 1998 - Dec 1999
3 education records
Brian Hardenstein education
Certificate, Data Science
Galvanize Inc
Certificate, Data Science
Galvanize - Seattle, Pioneer Square
Computer Science, Economics
University Of Colorado Boulder
FAQ
Frequently asked questions about Brian Hardenstein
Quick answers generated from the profile data available on this page.
What company does Brian Hardenstein work for?
Brian Hardenstein works for Hardenburg AI.
What is Brian Hardenstein's role at Hardenburg AI?
Brian Hardenstein is listed as Consulting Applied Scientist - Computer Vision and Recommendations at Hardenburg AI.
What is Brian Hardenstein's email address?
AeroLeads has found 2 work email signals at @gumgum.com for Brian Hardenstein at Hardenburg AI.
What is Brian Hardenstein's phone number?
AeroLeads has found 7 phone signal(s) with area code 415, 925, 303 for Brian Hardenstein at Hardenburg AI.
Where is Brian Hardenstein based?
Brian Hardenstein is based in Los Angeles, California, United States while working with Hardenburg AI.
What companies has Brian Hardenstein worked for?
Brian Hardenstein has worked for Hardenburg Ai, Zelig Technology, Gumgum, Amazon, and Macy'S.
How can I contact Brian Hardenstein?
You can use AeroLeads to view verified contact signals for Brian Hardenstein at Hardenburg AI, including work email, phone, and LinkedIn data when available.
What schools did Brian Hardenstein attend?
Brian Hardenstein holds Certificate, Data Science from Galvanize Inc.
What skills is Brian Hardenstein known for?
Brian Hardenstein is listed with skills including Machine Learning, Data Science, Numpy, Cisco Technologies, Python, Matplotlib, Pair Programming, and Spark.
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