Key Skills

Freelancer Overview

With over a decade of experience in experimental physics and scientific computing, I have developed deep expertise in data analysis, annotation, and the creation of high-quality training datasets for complex measurement systems. My work has involved designing and automating data acquisition and processing pipelines using Python (NumPy, SciPy, Pandas), MATLAB, and C++, with a strong focus on statistical analysis, signal processing, and Bayesian inference. I have led projects that required meticulous labeling and validation of experimental and simulated data, including the development of a Python library for standardized data acquisition and model fitting, and the implementation of real-time denoising and machine-vision tools for automated optics alignment. My background in scientific software development, image and signal processing, and mentoring researchers on reproducible data workflows equips me to deliver precise, reliable, and scalable training data solutions for AI and machine learning applications.

Labeling Experience

Education

Work History