Sushil Thapa
Senior Machine Learning Engineer at Apple
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolSushil Thapa is a Senior Machine Learning Engineer based in New York with a decade of experience building and researching multimodal AI systems across industry and national labs. His work spans generative AI, LLMs/VLMs, computer vision, audio, and tabular modeling, with particular emphasis on self/semi-supervised learning, interpretability, robustness, and model compression for edge deployment. He has moved between research and product roles—from Stanford AI Lab and Los Alamos National Laboratory to Intel and now Apple—bringing academic rigor to production-scale problems. Known for practical innovations like efficient object detection on edge devices and multilingual document extraction, he also teaches and mentors, having led deep learning courses and hands-on projects. His GitHub persona, “Yet Another Neural Network With 100 Billion Neurons,” hints at a blend of ambitious experimentation and engineering humor that underpins a career balancing cutting-edge research with deployable solutions.
10 years of coding experience
11 years of employment as a software developer
Master of Science - MS Computer Science Machine Learning, Master of Science - MS Computer Science Machine Learning at New Mexico Institute of Mining and TechnologyBachelor of Engineering (BE), Bachelor of Engineering (BE) at Tribhuvan UniversityMicroMasters™ Artificial Intelligence, MicroMasters™ Artificial Intelligence at Columbia University
English, Nepali, Hindi, Urdu
Stackoverflow
41reputation
3kreached
1answer
0questions
Github Skills (47)
beam-search9
information-theory9
self-organizing-map9
lexicon8
decoder8
speech8
temporal7
posenet7
artificial-intelligence7
decoding7
machine-learning7
reinforcement-learning7
prefix7
flask-api6
deep-learning6
Programming languages (3)
Github contributions (5)
Sushil-Thapa/Abstention-OoD
Sep 2020 - Jan 2022
Contributions:11 commits, 4 pushes, 2 comments in 1 year 4 months
Sushil-Thapa/adversarial-neural-cryotography
Feb 2018 - May 2018
LEARNING TO PROTECT COMMUNICATIONS WITH ADVERSARIAL NEURAL CRYPTOGRAPHY [Pytorch Implementation]
Contributions:29 commits, 1 branch in 3 months
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