Jackon Yang is an experienced Team Lead based in Shanghai with 11 years' experience building data platforms and NLP solutions for startups. He combines hands-on Python and machine learning expertise with practical leadership as a former Scrum Master and current lead guiding cross-functional teams. His background in physics informs a methodical approach to model development and data engineering, and he has applied that to projects like an image CAPTCHA solver using TensorFlow and CNNs that achieved over 90% accuracy. Comfortable spanning production engineering and research-oriented ML work, he also contributes to tooling and monitoring practices (e.g., TensorBoard integration) to improve model observability. Pragmatic and product-focused, he excels at turning ML prototypes into reliable platform components for growing companies.
11 years of coding experience
2 years of employment as a software developer
Bachelor’s Degree, physics, Bachelor’s Degree, physics at Northwest University (China)
Image Captcha Solving Using TensorFlow and CNN Model. Accuracy 90%+
Role in this project:
ML Engineer
Contributions:6 releases, 125 commits, 16 PRs in 5 years 8 months
Contributions summary:Jackon primarily contributed to building an image captcha solving system using TensorFlow and a CNN model. Their work included generating captcha images, loading and preparing image data with labels, and developing a simple softmax model for image classification. They implemented and refined the model, adding support for shuffling data and detailed progress logging. The user also integrated tensorboard support for improved monitoring of the model.
Contributions:1 release, 121 commits, 6 PRs in 4 years 6 months
nlparxivpythondata-warecomputer-vi
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