Key Skills

Freelancer Overview

I have hands-on experience generating, labeling, and curating high-quality training datasets for machine learning applications, particularly in scientific domains like materials science and AI agent development. My work includes running large-scale simulations, automating data pipelines, and engineering robust feature descriptors to ensure data consistency and model accuracy. I am proficient in Python, PyTorch, and popular data science libraries, with a strong background in deep learning, statistical analysis, and high-performance computing. I have contributed to open-source AI projects, standardized benchmark evaluations, and implemented quality control measures to optimize data annotation workflows. My expertise allows me to build and validate datasets that drive reliable, scalable AI models across complex problem spaces.

Labeling Experience

Education

Work History