Nehal Bhandari is a Senior Machine Learning Engineer based in the San Francisco Bay Area with 11 years of experience building production-grade systems and ML infrastructure. At Apple she leads model optimization work—bringing state-of-the-art training-time and post-training quantization into the Core ML stack to compress models across NLP, vision, and generative domains while enabling third-party developer access. Earlier roles at Apple focused on systems-level engineering to model and triage energy and performance tradeoffs on device, blending hardware-aware optimization with software telemetry. Trained at Stanford (M.S. in Electrical Engineering) and IIT Bombay, she combines rigorous academic foundations with practical experience in hardware-accelerated workflows and parallelization techniques explored during research internships at Intel and EPFL. Colleagues would describe her as an engineer who bridges low-level systems thinking and applied ML, with a knack for making complex model compression techniques deployable at scale.
11 years of coding experience
7 years of employment as a software developer
Indian Institute of Technology Bombay
Master’s Degree, Electrical Engineering, Master’s Degree, Electrical Engineering at Stanford University
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Nehal Bhandari - Senior Machine Learning Engineer at Apple