Summary
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.
9 years of coding experience