Deepika Bablani
Senior Machine Learning Researcher at Apple
San Francisco, California, United States
Summary
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Senior🎓
Top SchoolDeepika Bablani is a Senior Machine Learning Researcher in San Francisco with a decade of experience translating fundamental research into deployable, high-performance ML systems. She spent seven years at IBM Research advancing post-training and quantization-aware methods for efficient LLM and vision model inference, with work highlighted in Science and presented at HotChips, and now applies that expertise at Apple. Her strengths span low-precision training, inference acceleration, and co-design for custom accelerators like the NorthPole NNA, bridging algorithmic innovation and hardware deployment. With an ECE M.S. from Carnegie Mellon and a background in electrical engineering and economics, she blends rigorous signal-processing instincts with systems-level pragmatism to deliver measurable efficiency gains.
10 years of coding experience
9 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceMaster of Science (M.S.) Electrical and Computer Engineering, Master of Science (M.S.) Electrical and Computer Engineering at Carnegie Mellon University
English, HindiGithub contributions (5)
tejas-gokhale/music_reco_deep_learning
May 2017 - May 2017
Contributions:20 commits, 20 pushes in 5 days
dipikabablani/dipikabablani.github.io
Dec 2019 - Feb 2023
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:27 pushes in 3 years 2 months
templategithub-pages-templatemmistakesmistakesjekyll
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