I build practical machine learning systems at the intersection of vision, language, and reasoning. My work spans document intelligence, visual grounding, and chart VQA—shipping research to production.
I'm an Applied Scientist II focused on computer vision and multimodal learning. My work bridges research and product—turning ideas into shipped features like document VQA and multimodal assistants. Increasingly, I'm motivated to apply AI to healthcare‑impactful problems that improve patient outcomes. Areas: document intelligence (layout‑aware transformers), visual grounding, chart reasoning/VQA, synthetic data generation, and efficient training/inference at scale.
Applied Scientist II
Sep 2019 – Present
Research Assistant
Oct 2017 – Aug 2019
Research Assistant
May 2016 – Aug 2016
CVPR 2024. Li, Jasani, Tang, Ghadar.
PDFECCV 2022 Workshops. Ho, Appalaraju, Jasani, Manmatha, Vasconcelos.
PDFICCV 2021. Appalaraju, Jasani, Kota, Xie, Manmatha.
PDFCMU RI Technical Report (Master's Thesis), 2019. Bhavan Jasani.
PDFWorkshop 2019. Bhavan Jasani et al.
PDFIEEE T-CSVT, 2017. Jasani, Lam, Meher, Wu.
PDFDownload my latest CV (updated 2025):
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