Arvind Rathna is a Senior Software Engineer at Apple with six years of experience building on-device machine learning inference for CoreML. He progressed from intern and machine learning roles into engineering positions at Apple after research and product-facing stints at Toshiba and internships at ARM. Trained in electrical engineering with an MS focused on machine learning from Columbia University and a BE from BITS Pilani, he bridges hardware-aware research and production ML systems. His background includes research engineering in Tokyo and graduate research in New York, reflecting comfort with cross-cultural, interdisciplinary collaboration. Arvind combines low-level systems understanding with applied ML inference optimization, making him adept at squeezing performance from constrained devices. Outside work he brings a global perspective and practical research experience to shipping robust on-device ML features.
6 years of coding experience
5 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
High School, High School at Chettinad Vidyashram
Master of Science - MS Electrical Engineering (Focus: Machine Learning), Master of Science - MS Electrical Engineering (Focus: Machine Learning) at Columbia University
Contributions:8 commits, 5 pushes, 1 branch in 3 months
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