Scholar
Vivek V. Datla
Google Scholar ID: Y-BH9OEAAAAJ
Sr. Tech Lead , AI Foundations, Capital One
Citations & Impact
Citations
1,521
H-index
16
i10-index
25
Publications
20
Co-authors
0
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Has 15+ granted patents, 35+ filings, and 30+ peer-reviewed publications spanning robust QA, multimodal learning, and other areas.
Research Experience
- At Capital One, responsible for projects in NLP/IR areas such as dynamic hybrid retrieval and cross-encoder re-ranking. At Philips Research, led teams to transfer 10+ technologies into production.
Education
- Ph.D. in Computer Science, University of Memphis, 2009-2014; M.S. in Computer Science, University of Memphis, 2006-2008; B.Tech. in Electronics & Communication Engineering, JNTU, India, 2001-2005.
Background
- A senior AI leader and applied researcher with 16+ years of experience in building production-grade NLP systems at scale. His current focus over the last two years has been on information retrieval (IR) and retrieval-augmented generation (RAG). At Capital One, he leads NLP/IR areas, including dynamic hybrid retrieval, cross-encoder re-ranking, etc. Previously at Philips Research, he directed cross-functional teams to deliver healthcare AI from lab to product.
Miscellany
- Current interests center on trustworthy LLMs, such as semantic entropy, MARS-style scoring, confidence calibration, and hallucination mitigation. Aims to turn cutting-edge research into reliable, interpretable, and cost-efficient systems.
Co-authors