Gautam Bose is a product-minded software engineer with a decade of experience building interactive web and ML-driven products from design prototypes to production. At Google he helped launch creative and edge ML projects—including Teachable Machine and TensorFlow Lite for Microcontrollers—bringing together full‑stack engineering, model integration, and UX sensitivity. He co-created flexible ML enhancements like configurable image sizes and grayscale support for the Teachable Machine community, reflecting a focus on practical, developer-friendly tooling. Trained in design with a CS concentration at Carnegie Mellon, he blends visual thinking with code to solve tricky interaction and performance constraints. Based in San Francisco, he favors pragmatic automation and open curiosity—“open laptop, open mind”—that shows up in both experimental demos and shipping systems.
10 years of coding experience
Canyon Crest Academy
Design + Concentration in Computer Science, Design + Concentration in Computer Science at Carnegie Mellon University
Example code snippets and machine learning code for Teachable Machine
Role in this project:
ML Engineer
Contributions:1 review, 45 commits, 19 PRs in 2 years 3 months
Contributions summary:Gautam primarily contributed to the machine learning aspects of the Teachable Machine project. Their work included adding support for grayscale models, making the image size configurable, and integrating the image size into the metadata. Additionally, the user implemented and tested grayscale model accuracy and inference functions. These modifications improved the model's flexibility and functionality.
Contributions:15 pushes, 3 branches in 1 year 1 month
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