Rachel Byer

Key Skills

Software

AWS SageMaker

Anno-Mage

Appen

Axiom AI

Data Annotation Tech

Google Cloud Vertex AI

LabelImg

Label Studio

Mindrift

OpenCV AI Kit (OAK)

Playment

Scale AI

SuperAnnotate

Toloka

Telus

V7 Labs

Internal/Proprietary Tooling

Other

Top Subject Matter

No subject matter listed

Top Data Types

3D Sensor

Image

Video

Top Task Types

Bounding Box

Classification

Computer Programming Coding

Data Collection

Object Detection

Freelancer Overview

Primary research projects involved designing innovations for a novel AI smart cooler system using a multi-sensor system for unmatched capabilities (over 98% accuracy) in the product recognition, classification, price assignment, pricing adjustments, promotional advertising (aka “combo-deals”), tracking for directionality, and other various algorithms for the system to function with many product categories and extremely high accuracy rate. Contributed to camera evaluation, selection, and integration for image-based system component, including pre- & post- processing of images, reduction of S/N for higher accuracy, etc. Also, contributed to weight-based system design and assisted team with integration with other components of the AI smart cooler’s multi-sensor system. Proficient in Solidworks, PDM, AutoCAD, machine learning, deep learning, image recognition/classification/tracking algorithms, and AWS-based algorithm development. Assisted systems engineering lead on design of system to include automated safety-related protocols, when necessary.

Labeling Experience

xAI/Mercor

OtherTextQuestion AnsweringText Generation

Contributing materials science expertise as an industry expert consultant to top AI research labs. Helping to create data and provide feedback for quality control on datasets being used to train LLMs.

Contributing materials science expertise as an industry expert consultant to top AI research labs. Helping to create data and provide feedback for quality control on datasets being used to train LLMs.

2024

Crane Payment Innovations

Aws SagemakerVideoBounding BoxClassification

Primary research projects involved designing innovations for a novel AI smart cooler system using a multi-sensor system for unmatched capabilities (over 98% accuracy) in the product recognition, classification, price assignment, pricing adjustments, promotional advertising (aka “combo-deals”), tracking for directionality, and other various algorithms for the system to function with many product categories and extremely high accuracy rate. Contributed to camera evaluation, selection, and integration for image-based system component, including pre- & post- processing of images, reduction of S/N for higher accuracy, etc. Also, contributed to weight-based system design and assisted team with integration with other components of the AI smart cooler’s multi-sensor system. Proficient in Solidworks, PDM, AutoCAD, machine learning, deep learning, image recognition/classification/tracking algorithms, and AWS-based algorithm development. Assisted systems engineer

Primary research projects involved designing innovations for a novel AI smart cooler system using a multi-sensor system for unmatched capabilities (over 98% accuracy) in the product recognition, classification, price assignment, pricing adjustments, promotional advertising (aka “combo-deals”), tracking for directionality, and other various algorithms for the system to function with many product categories and extremely high accuracy rate. Contributed to camera evaluation, selection, and integration for image-based system component, including pre- & post- processing of images, reduction of S/N for higher accuracy, etc. Also, contributed to weight-based system design and assisted team with integration with other components of the AI smart cooler’s multi-sensor system. Proficient in Solidworks, PDM, AutoCAD, machine learning, deep learning, image recognition/classification/tracking algorithms, and AWS-based algorithm development. Assisted systems engineer

2021 - 2023

Education

Work History