Sanket Badhe is a machine learning engineer with eight years of experience building high-performance analytics and production ML systems across enterprise and consumer tech. He combines a strong algorithms and C++/SQL background from Fuzzy Logix with applied deep learning research and hands-on model development in Keras/TensorFlow. Sanket has led ML teams and shipped solutions for fraud detection, flaky test/configuration detection, and large-scale recommendation/shopping features at major platforms including TikTok, Oracle, Red Hat, and now Google. As a Quantitative Data Graduate Specialist at Rutgers he designed and taught practical workshops that bridge statistical inference and real-world data workflows to diverse learners. He publishes deep learning research and has a track record of squeezing performance out of scalable algorithms (5–45% gains) while mentoring engineers. Based in Mountain View, he blends production-focused engineering with academic rigor and a knack for turning research insights into deployable systems.
8 years of coding experience
9 years of employment as a software developer
Master of Science - MS Data Science, Master of Science - MS Data Science at Rutgers University–New Brunswick
Contributions:84 commits, 83 pushes, 1 branch in 1 year 2 months
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Sanket Badhe - Machine Learning Engineer at Google