Shweta Bhatt
Principal Applied Scientist focused on ML, NLP, information retrieval
shweta-bhatt
Bengaluru, India
Joined June 2026
Summary
Published ML/NLP researcher with a focus on domain-specific language models and information retrieval, contributing to peer-reviewed work like BioMedBERT and studies on online ecosystems. aclanthology+2
Applied scientist and technical leader in industry roles at Jupiter, working on applied ML, NLP, conversational AI and information retrieval for product use-cases. google+1
Active community educator, mentor and speaker — participates in developer and AI events, leads workshops, and mentors startups (including Google for Startups programs and Google developer initiatives). nitter+2
Experienced in bridging academic research and practical ML product work, with a background in Intelligent Systems (King's College London) and applied data science positions earlier in her career. researchgate+2
Work
Education
Projects
Writing
BioMedBERT: A Pre-trained Biomedical Language Model for QA and IR
January 1, 2020Paper describing BioMedBERT, a neural pre-trained biomedical language model fine-tuned for QA and IR tasks, reporting state-of-the-art QA performance on BioASQ datasets.
The journey from Software Developer to Data Scientist
January 1, 2019Medium interview/profile discussing career transition into data science, experiences, and advice for aspiring data scientists.
Illuminating an Ecosystem of Partisan Websites
January 1, 2018Research on the ecosystem of partisan websites; conference publication and presentation at WWW Conference 2018.
Explaining Reinforcement Learning: Active vs Passive
January 1, 2018A long-form technical article explaining reinforcement learning concepts and distinctions (published on KDnuggets).