Key Skills

Freelancer Overview

I have a strong background in software engineering and data science, with hands-on experience in building and improving AI training data pipelines and tools. My work spans data analysis, visualization, and machine learning using Python, NumPy, Pandas, PyTorch, TensorFlow, and scikit-learn, as well as developing ETL processes and business intelligence solutions. I have contributed to open-source projects that enhance the compatibility and parallelism of major data science libraries, collaborating closely with core developers to improve the Python ecosystem for AI workloads. My experience includes creating and maintaining data-driven applications, optimizing data workflows, and developing tools for code analysis and accessibility, making me adept at ensuring high-quality, reliable datasets for AI and machine learning projects. I am comfortable working with cloud platforms (AWS, Azure), databases (MongoDB, MySQL), and modern DevOps tools to support scalable and efficient data annotation and labeling processes.

Labeling Experience

Education

Work History