Mathematics Expert (Python) – Freelance (AI Dataset Development)
Created, verified, and documented over 1,000 computational mathematics problems for AI training datasets. Developed reproducible scripts and detailed documentation outlining problem structure, solution methods, and verification steps for machine learning applications. Collaborated with global teams to refine datasets and ensure problems were suitable for computational AI model training.
• Used Python libraries such as NumPy, SciPy, and SymPy for verification and data preparation.
• Ensured problems required computational solutions beyond manual methods.
• Problems and solutions contributed directly to AI benchmarking and algorithm improvement.
• Experience included designing programmatic frameworks for data generation and validation.
Created, verified, and documented over 1,000 computational mathematics problems for AI training datasets. Developed reproducible scripts and detailed documentation outlining problem structure, solution methods, and verification steps for machine learning applications. Collaborated with global teams to refine datasets and ensure problems were suitable for computational AI model training. • Used Python libraries such as NumPy, SciPy, and SymPy for verification and data preparation. • Ensured problems required computational solutions beyond manual methods. • Problems and solutions contributed directly to AI benchmarking and algorithm improvement. • Experience included designing programmatic frameworks for data generation and validation.
2022 - Present