Manoj Acharya

Staff ML Engineer at Exponential

San Francisco, California, United States
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Summary

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Senior
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Manoj 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.
code11 years of coding experience
job10 years of employment as a software developer
bookDoctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at Rochester Institute of Technology
bookBachelor of Engineering - BE, Electrical, Electronics and Communications Engineering, Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering at Tribhuvan University, IOE, Pulchowk Campus
bookIntermediate of Science, Intermediate of Science at St. Xavier's College, Maitighar
languagesHindi, English, Nepali
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Stackoverflow

Stats
567reputation
53kreached
15answers
1question
Badges
pytorch
top-5%
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Github Skills (53)

pytorch10
latexml10
python10
machine-learning10
llm10
audio10
deep-learning10
natural-language-processing10
computer-vision10
nlp10
machine-learning-models9
transformers9
scientific-publications9
multimodal9
inference9

Programming languages (6)

TypeScriptCSSJavaScriptJupyter NotebookMATLABPython

Github contributions (5)

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Contributions:309 pushes, 4 branches in 10 years 7 months
manoja328/tallyqacode

Aug 2018 - Dec 2021

Contributions:57 commits, 13 pushes, 4 comments in 3 years 4 months
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