Manoj Acharya
Advanced Computer Scientist at Stanford Research Institute (SRI)
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolManoj Acharya is a Staff ML Engineer based in San Francisco with a PhD from Rochester Institute of Technology and a decade of experience building applied machine learning systems across vision, language, and multimodal domains. He has driven research and production work at Amazon and SRI—publishing in top-tier venues—focusing on open-world detection, multimodal V&L, graph neural nets, and continual learning while also contributing practical solutions for dataset curation and distributed GPU training. Manoj blends deep research rigor with production savvy, having deployed BERT-based and distilled models for real-world search and recommendation tasks and designed privacy-preserving in-context learning frameworks for LLMs. Notably, his background spans embedded systems and visualization tools, giving him a rare systems-to-research perspective that helps bridge prototype innovation and scalable production.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at Rochester Institute of TechnologyBachelor of Engineering - BE Electrical Electronics and Communications Engineering, Bachelor of Engineering - BE Electrical Electronics and Communications Engineering at Tribhuvan University, IOE, Pulchowk CampusIntermediate of Science, Intermediate of Science at St. Xavier's College, Maitighar
Hindi, English, Nepali
Stackoverflow
567reputation
53kreached
15answers
1question
pytorch
top-5%
Github Skills (53)
pytorch10
python10
machine-learning10
datasets10
deep-learning10
tensorflow10
natural-language-processing10
torchvision10
bert10
computer-vision10
transformer10
speech-recognition10
nlp10
latexml9
transformers9
Programming languages (5)
Github contributions (5)
manoja328/tallyqacode
Aug 2018 - Dec 2021
Contributions:57 commits, 13 pushes, 4 comments in 3 years 4 months
manoja328/blog
Feb 2024 - Sep 2024
Contributions:45 PRs, 100 pushes, 48 branches in 7 months
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