Angeela Acharya
Lead Machine Learning Research Engineer at Rhino.ai
Virginia, United States
Summary
👤
Senior🎓
Top SchoolAngeela 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.
8 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree Electrical Electronics and Communications Engineering, Bachelor’s Degree Electrical Electronics and Communications Engineering at Institute of Engineering,Pulchowk CampusDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at George Mason University
Nepali, English
Github Skills (7)
docker-desktop6
nlp3
desktop3
docker3
embedding3
bert2
windows2
Programming languages (2)
Github contributions (5)
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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