Sravanthi Rajanala

Responsible AI Leader Guided by Values | Yoga & Gardening Enthusiast | Championing Compassionate Leadership

Seasoned AI leader with a strong track record of building and scaling world-class NLP and LLM systems used by hundreds of millions of people and driving billions in business impact. I specialize in query understanding, semantic search, entity-aware modeling, and efficient LLM deployment. I’m passionate about developing reliable, interpretable, and beneficial AI at global scale, and I co-founded an AI project marketplace to mentor the next generation of builders. Excited to help shape the future of frontier AI with teams committed to safety and societal benefit.

Patents (10+ granted or pending)

Walmart Global Tech (2023–2025)
• Entity-Aware Multi-Task Learning for Search Intent (20250291803)
• Session Context Embeddings for Ranking (20250245281)
• Query Ambiguity Detection via Product Specificity (20250245714)
• Semantic GUI Personalization from Query Embeddings (20250245715)
• Cross-Lingual Query Classification & Translation System (20240256532 / 20240256587)Microsoft Bing (granted & shipped)
• Neural Answer Phrase Highlighting (US 11,200,269)
• Real-Time Document Summarization Using Search Signals (US 10,169,453)

• Full List

Publications

• Q-PEFT: Query-Dependent Parameter-Efficient Fine-Tuning for Text Reranking with Large Language Models

Z. Peng, X. Wu, Q. Wang, S. Rajanala, Y. Fang. arXiv:2403.12414 (2024) - Cited by 11

• Passage-Specific Prompt Tuning for Passage Reranking in Question Answering with LLMs

X. Wu, Z. Peng, S. Rajanala, H. Wu, Y. Fang. Gen-IR @ SIGIR 2024 - arXiv:2405.20654 (2024)

• Entity-aware Multi-task Learning for Query Understanding at Walmart

Z. Peng, V. Dave, N. McNabb, R. Sharnagat, …, S. Rajanala. Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining – Industry Track (2023)

• Cross-lingual Search for e-Commerce based on Query Translatability and Mixed-Domain Fine-Tuning

J. Pérez-Martín, J. Gómez-Robles, …, S. Rajanala. Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval – Industry Track (2023)

Contact

San Francisco Bay Area
[email protected]
https://www.linkedin.com/in/sravanthir/