Key Skills

Freelancer Overview

I am a physicist with over 10 years of experience in experimental research and scientific computing, with a strong focus on data analysis, statistical modeling, and automation. My background includes designing and deploying Python-based data acquisition and analysis suites that leverage automated quality control and Bayesian fitting, significantly reducing error rates and cycle times. I have extensive experience developing and optimizing data pipelines for high-throughput signal and image processing, using tools such as Python (NumPy, SciPy, Pandas), C++, and MATLAB. My work often involves large, complex datasets from precision measurement instruments, where I implement robust data labeling, annotation, and validation methods to ensure data integrity for downstream AI and machine learning applications. I am skilled in leveraging Jupyter, Git, Docker, and Linux environments, and have led cross-functional teams on projects involving computer vision, real-time denoising, and automated calibration in scientific and industrial domains.

Labeling Experience

Education

Work History