Lindsey B.

Key Skills

Software

CloudFactory

Data Annotation Tech

Labelbox

Mindrift

Top Subject Matter

Tech

data annotatin

business

Top Data Types

Image

Text

Document

Top Task Types

Polygon

Segmentation

Classification

Object Detection

Text Generation

Text Summarization

Transcription

Evaluation/Rating

Data Collection

Freelancer Overview

I am very well-versed in engineering and computer science principles from Georgia Tech and can apply the same level of technical precision to AI training and codebase evaluation. My experience is largely in constructing high-fidelity code-generation datasets, which involve analysing complex production systems with multiple software repositories and generating realistic software tasks from them. My focus is on creating well-formatted, SWE-bench-style coding tasks that test an AI's ability to navigate codebases, detect runtime errors, and precisely refactor code across diverse technical stacks. The one thing that really distinguishes me from others is my use of test-driven strategies for data validation and annotation. With extensive knowledge of Python, PyTest, and system configuration, I not only label data but also write detailed verification tests and design elaborate edge-case scenarios to test the actual reasoning capabilities of Large Language Models (LLMs). A blend of software engineering experience, dataset curation expertise, and a specialization in computer intelligence provides the high accuracy, rigorous validation, and dataset optimization I deliver, which is ideal for training at the frontier of AI models.

Education

Work History