Arnav Kundu is a Senior Machine Learning Engineer with 10 years of experience designing and shipping production-grade ML systems, currently building next-generation foundation models and multimodal interactions for edge devices at Apple in Cupertino. His background spans applied research and engineering—from ultra low-memory keyword spotting and distributed TensorFlow optimizations that cut training time by 90%, to noise-robust speech enhancement work at NVIDIA and grid-security research during his MS at Texas A&M. He blends rigorous academic foundations in electrical and computer engineering with hands-on product impact, having driven measurable improvements in production models and marketing analytics earlier in his career. Known for squeezing efficiency out of constrained environments, he often trades compute and memory for smarter model and infrastructure design. Beyond the office, he describes his craft as “combining a bunch of 0s and 1s to understand the universe,” reflecting a curiosity-driven approach to AI systems.
10 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Electrical and Computer Engineering, 3.75, Master of Science - MS, Electrical and Computer Engineering, 3.75 at Texas A&M University
Bachelor of Technology (B.Tech.), Electrical and Electronics Engineering, 3.36, Bachelor of Technology (B.Tech.), Electrical and Electronics Engineering, 3.36 at National Institute of Technology Karnataka
Contributions:28 commits, 2 PRs, 23 pushes in 8 days
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Arnav Kundu - Senior Machine Learning Engineer at Apple