Surabhi Bhargava is a Staff Machine Learning Engineer with a decade of experience translating cutting-edge ML research into production-grade generative AI and vision systems. At Adobe she leads Generative AI for Acrobat, delivering multi-document Q&A, RAG pipelines, LLM evaluation, and intent detection that power products like the AI Assistant and Liquid Mode—features recognized by Time Magazine in consecutive years. Her work spans Generative AI, Computer Vision, and NLP, and has earned over 1,000 academic citations while she also serves as a reviewer for top conferences and journals. She combines deep research roots from Columbia and IIT Guwahati with practical platform experience from PayPal and product delivery at Adobe, enabling robust ML systems at scale. Beyond product impact, she mentors students and early-career researchers and regularly presents internationally, cultivating the next generation of AI talent. A detail often overlooked: she has driven both data curation and active learning pipelines, ensuring models succeed not just in research metrics but in messy production data.
10 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree Electrical and Electronics Engineering, Bachelor’s Degree Electrical and Electronics Engineering at Indian Institute of Technology, Guwahati
Master's degree Computer Science, Master's degree Computer Science at Columbia University
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Surabhi Bhargava - Staff Machine Learning Engineer at Adobe