Thao N.

Key Skills

Software

Labelbox

Top Subject Matter

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Top Data Types

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Top Task Types

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Freelancer Overview

With a decade of experience in experimental physics and computational research, I specialize in designing and automating data acquisition, labeling, and analysis pipelines for complex scientific instruments. My background includes developing Python-based suites for automated quality control, Bayesian fitting, and signal processing, which significantly reduced error rates and improved data reliability. I have hands-on expertise with machine vision tools for automated optics alignment, real-time denoising using GPU-accelerated algorithms, and building reproducible data workflows for quantum sensors. My skills span Python (NumPy, Pandas, SciPy, JAX), C++, MATLAB, and I am proficient with tools like Git, Docker, and Jupyter. I am passionate about creating robust, scalable data annotation systems and have a strong record of mentoring teams, leading cross-functional projects, and ensuring high-quality datasets for scientific and industrial applications.

Labeling Experience

AI data labeling and annotation project

LabelboxTextText Summarization

Participated in a data labeling and annotation project focused on text data for AI model training. Tasks included classifying text, tagging entities, and reviewing annotations to ensure accuracy and consistency. Followed detailed guidelines, maintained high attention to detail, and met quality standards required for machine learning datasets. This project helped build foundational skills in data annotation, AI workflows, and quality control.

2025 - 2025

Education

Work History