Rashmi Nagpal

/dev/random, India
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Summary

👤
Senior
Rashmi Nagpal is an AI research scientist and engineer with nine years of experience building and deploying machine learning systems across research labs and industry. Currently a Research Affiliate at MIT CSAIL and AI Research Scientist at Poseidon, she blends academic rigor with product-focused engineering, previously delivering ML-driven cybersecurity and summarization solutions for startups and enterprises. Her work spans deep learning and classical ML—from training RoBERTa and FairSeq models to a 92% accurate malware analyzer—and includes hands-on MLOps with AWS Sagemaker/EC2 and CI/CD pipelines. She has a track record of mentoring junior engineers and leading cross-functional research projects at institutions like Stanford, Harvard-affiliated initiatives, and the Indian School of Business. Known for bridging research and production, Rashmi brings practical evaluation discipline (multi-annotator metrics, AUC-ROC, F1) to ambiguous problems in NLP and security. Outside conventional bios, she pairs technical depth with a poetic curiosity—“an atom in universe”—that reflects a thoughtful approach to modeling complex systems.
code9 years of coding experience
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Github Skills (107)

fuse10
markdown10
dsa-algorithm10
high-performance10
storage10
cloud-storage10
replication10
fat10
offline-app10
javascript9
glusterfs9
ctc9
tarball9
database9
rdma9

Programming languages (9)

TypeScriptJavaC++ShellVueGoHTMLJupyter Notebook

Github contributions (5)

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Contributions:30 commits in 1 month
Contributions:16 commits, 15 pushes, 1 branch in 1 day
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