# Jacob Green

> Product Lead | Empowering Data Scientists with Innovative Machine Learning Solutions

Location: Berkeley, California, United States
Profile: https://flows.cv/jacobgreen

Hi! I'm Jacob Green, a Machine Learning enthusiast with a passion for delivering the best data-centric solutions to end users around the world.  I'm a product expert, currently building my third product from the ground up with Cleanlab Studio - the premier data-centric AI platform to automatically find and fix issues in your datasets.  I've previously worked at startups like Butler Labs and Perimeter to build products with end users at the forefront of design and decision making.

## Work Experience
### Product Engineer @ Butler Labs
Jan 2021 – Jan 2022 | San Francisco Bay Area

### Lead Software Engineer @ Perimeter
Jan 2019 – Jan 2021 | San Francisco Bay Area
Designed, implemented and brought two full stack products to market, resulting in two annual paying customers with three more in the pipeline
Manage two engineers, one designer and many advisors across the Product Design and Software Development teams, and developed and lead agile practices (scrums, sprints) 
Designed and currently maintain PostgreSQL database and React front end with Mapbox integration
Conduct interviews with end users to analyze UI effectiveness, understand customer pain points, and iterate on product design

### Software Engineer Internship @ FaceFirst Face Recognition Software
Jan 2017 – Jan 2017 | Westlake Village
•	Worked on a custom facial detection neural network using theano for real time face detection
•	Integrated a facial recognition neural network into the existing architecture of the FaceFirst system
•	Created a face pose estimation algorithm based on facial landmark data
•	Created a face quality algorithm based on a logistic regression of many empirical heuristics.

### Software Engineer Internship @ FaceFirst Face Recognition Software
Jan 2016 – Jan 2016 | Westlake Village
•	Created a program to test the speed and effectiveness of different hashcode algorithms on images.
•	Created an image pyramid program which deconstructed an image into many different slices which could be analyzed individually.
•	Created a facial detection neural network using convnet.js, with over a 75% success rate.
•	Created an interactive neural network simulator to use to explain the basic concepts of neural networks to customers.


## Education
### Bachelor's degree in Computer Science
University of California, Berkeley

### Newbury Park High School


## Contact & Social
- LinkedIn: https://linkedin.com/in/jacobgreen920

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Source: https://flows.cv/jacobgreen
JSON Resume: https://flows.cv/jacobgreen/resume.json
Last updated: 2026-03-29