Research

Our research focuses on practical AI that can be deployed reliably in real-world systems.

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  Applied Machine Learning & Model Optimization

  Developing efficient models that balance performance with computational constraints

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  Natural Language Processing (NLP)

  Building language models for understanding, generation, and intelligent conversation

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  System Design for AI at Scale

  Architecting robust infrastructure for deploying AI in production environments

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  Responsible & Ethical AI

  Ensuring AI systems are fair, transparent, and aligned with human values