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Akriti Chadda

Akriti Chadda

Applied Scientist

Seattle, Washington, United States

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Akriti Chadda is an Applied Scientist specializing in search relevance, ranking models, and large-scale AI systems. With extensive experience in search, recommendation systems, and applied AI, she has worked on optimizing information retrieval using LLMs, transformer-based architectures, and hybrid search techniques.

Passionate about bridging the gap between research and real-world AI applications, she frequently shares insights on GenAI for search, deep learning for relevance modeling, and optimizing AI systems for production. At AI Dev Summit 2025, Akriti will delve into the future of AI-powered search, exploring how Generative AI, RAG pipelines, and ranking-aware LLMs are transforming search and recommendation experiences.

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Area of Expertise

  • Health & Medical
  • Information & Communications Technology

Topics

  • Machine Learning & AI
  • Machine Learning
  • Machine Learning and Artificial Intelligence
  • Machine Leaning
  • AI & Machine Learning
  • Artificial Intelligence (AI) and Machine Learning
  • Machine Learning and AI
  • Applied Machine Learning
  • women in machine learning and data science
  • Machine Learning Engineering
  • Artificial Intelligence and machine learning
  • Machine Learning/Artificial Intelligence
  • Information Retrieval
  • Search

Akriti Chadda

Applied Scientist

Seattle, Washington, United States

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