Angeela Acharya

Lead Machine Learning Research Engineer at Rhino.ai

Virginia, United States
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Summary

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Angeela Acharya is a Lead Machine Learning Research Engineer with a Ph.D. in Computer Science and eight years of experience applying advanced ML to sequential data such as text and time series. She has driven research-to-product work across academia and industry—adapting pre-trained language models for EHR risk prediction, improving LLM fine-tuning for clinical normalization, and deploying time-series demand forecasting for retail. At Rhino.ai she progressed rapidly from senior to lead research engineer, and her publications reflect a sustained focus on data augmentation and synthetic-data techniques to overcome low-resolution data gaps. Beyond technical contributions, she co-founded a nonprofit to mentor aspiring AI practitioners in Nepal and has designed inclusive teaching materials to boost CS retention among underrepresented students. This blend of deep research, practical production experience, and community-building distinguishes her approach to ML problems.
code9 years of coding experience
job8 years of employment as a software developer
bookBachelor’s Degree Electrical Electronics and Communications Engineering, Bachelor’s Degree Electrical Electronics and Communications Engineering at Institute of Engineering,Pulchowk Campus
bookDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at George Mason University
languagesNepali, English
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Github Skills (9)

docker-desktop7
classification-model6
attention-mechanism3
bert3
attention-model2
deep-learning2
windows2
graph2
deep-neural-networks1

Programming languages (2)

HTMLPython

Github contributions (5)

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Angeela03/MLP-numpy

Feb 2020 - Nov 2022

Contributions:2 pushes, 1 branch in 2 years 9 months
Angeela03/GenSyn

Feb 2022 - May 2022

Contributions:18 commits in 3 months
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