Key Skills

Freelancer Overview

I am an experienced physicist with a strong background in data analysis, scientific computing, and the development of automated data acquisition and processing pipelines. Over the past decade, I have specialized in designing and implementing high-precision experiments that generate large, complex datasets, which I have managed, cleaned, and analyzed using Python (NumPy, SciPy, Pandas), MATLAB, and C++. My work has included building Python-based acquisition and analysis suites with automated quality control and Bayesian fitting, as well as developing GPU-accelerated denoising and machine-vision tools for real-time data annotation and signal processing. I am adept at creating reproducible data pipelines, implementing automated QC procedures, and collaborating across multidisciplinary teams to ensure high-quality, reliable data for research and development in advanced sensing and measurement domains. My experience in mentoring researchers and leading projects has given me a keen eye for detail and a commitment to data integrity, making me well-suited for roles in data labeling, annotation, and AI training data preparation.

Labeling Experience

Education

Work History