Lauren N.

Key Skills

Software

Other

AWS SageMaker

Argilla

Appen

CVAT

Dataloop

Datatroniq

Deep Systems

Dataturk

Datature

Figure Eight

Encord

Doccano

iMerit

HiveMind

Humanatic

Hasty

Google Cloud Vertex AI

Labelbox

Img Lab

Kili Technology

Mercor

Lionbridge

LightTag

Top Subject Matter

AI evaluation and automated testing pipelines

AI testing and LLM-assisted test case generation

Legal Services & Contract Review

Top Data Types

Computer Code Programming

Text

Document

Top Task Types

Text Generation

Bounding Box

Segmentation

Classification

Fine-tuning

RLHF

Question Answering

Object Detection

Cuboid

Text Summarization

Freelancer Overview

Python Developer (AI evaluation pipelines and automated test workflows) | Oracle | 2018–2021. Brings 11+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Master of Science, University of California, Berkeley (2019) and Bachelor of Science, San Diego State University (2015). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Evaluation, Rating, and Text Generation.

Labeling Experience

Senior Python Engineer (LLM-assisted AI testing and evaluation) | Adobe | 2021–2025

OtherText Generation

Developed functional black-box tests for Python and Go-based AI CLI tools to ensure reliability and accuracy of AI-driven functionality. Maintained secure, reproducible Docker environments for multi-platform deployment and efficient automated pytest execution. Applied LLMs to generate and automate test cases, reducing manual testing effort by 35% as part of AI testing and iterative development. • Built pytest frameworks with advanced fixtures, session-scoped testing, and automated timeouts. • Used Docker to support consistent, secure containerized test environments. • Leveraged LLM assistance (e.g., Claude Code/Roo Code equivalents) to generate and automate test cases. • Validated AI CLI tools using black-box functional testing practices.

2021 - 2025

Python Developer (AI evaluation pipelines and automated test workflows) | Oracle | 2018–2021

Other

Built Python scripts and modules to support AI evaluation pipelines and automated testing workflows for downstream AI assessment. Configured containerized testing environments using Docker and Linux scripting to produce consistent evaluation results across systems. Collaborated on multi-language code analysis (C, Rust, C++) to enable Python integration within testing frameworks. • Implemented automated test workflows aligned to AI evaluation needs. • Used Docker and Linux scripting to standardize reproducible test setups. • Improved code coverage with coverage.py and kcov, reaching 93% across projects. • Partnered with engineering peers to integrate Python evaluation with other languages.

2018 - 2021

Education

Work History