Daniel Gin is a versatile technologist and educator based in the San Francisco Bay Area with 11 years of professional experience spanning data engineering, full-stack Python/Django development, and independent options trading. A UC San Diego graduate in mathematics and philosophy (cum laude), he blends quantitative rigor with clear communication—skills he now applies as a special education paraeducator while maintaining a strong interest in machine learning, AI, and NLP. His background at a small-cap hedge fund gave him hands-on experience building data pipelines and production systems, and his years trading independently sharpened his risk analysis and systematic thinking. Comfortable switching between code, models, and classrooms, he brings a rare mix of technical depth, analytical mindset, and patient pedagogy to interdisciplinary problems.
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