Gaurab Banerjee
Machine Learning Engineer at Apple
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolGaurab Banerjee is a Machine Learning Engineer at Apple with nine years of hands-on experience building multimodal foundation models and sensor/vision systems, currently focused on post-training methods for audio-centric models. He has a strong applied research background—publishing Stanford papers on audio and generalized transformer pretraining and contributing to diffusion model SFT/RLHF work at Apple. His industry R&D includes sensor fusion and pose estimation patents from a Ford internship and full-stack vision/perception modeling for tracking and detection. Comfortable bridging research and engineering, he emphasizes rigorous evaluations and benchmarks to drive system understanding and product impact. Outside core ML work, he has deep teaching and course-development experience at Stanford, reflecting strong communication skills that help translate complex ideas into practical solutions.
9 years of coding experience
1 year of employment as a software developer
Advanced Regents Scientific Diploma with High Honors, Advanced Regents Scientific Diploma with High Honors at Shaker High SchoolMaster of Science - MS, Computer Science, 4.15, Master of Science - MS, Computer Science, 4.15 at Stanford University
English, Bengali, Spanish, Hindi
Stackoverflow
49reputation
3kreached
0answers
4questions
Github Skills (21)
python9
natural-language-processing9
audio9
nlp9
speech-recognition8
deep-learning8
machine-learning8
llm8
pytorch8
machine-learning-models7
transformers7
multimodal7
inference7
transformer7
gemma6
Programming languages (1)
Github contributions (5)
gbanerjee01/website
Nov 2020 - Mar 2022
Contributions:4 pushes, 3 branches in 1 year 3 months
Team2791/Robot_2017
Feb 2017 - May 2017
Contributions:97 commits in 3 months
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