Krishnateja Killamsetty on Muck Rack

Krishnateja Killamsetty

As seen in: Amazon Science
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Articles

Customized Amazon Nova models improve molecular-property prediction in drug discovery

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By Andy Lapastora, Karthick Prasad Gunasekaran, Krishnateja Killamsetty
| Amazon Science
In recent years, large language models (LLMs) have become indispensable assistants for software engineers and knowledge workers. Nimbus Therapeutics enlisted us at Amazon’s Generative AI Innovation Center and Artificial General Intelligence (AGI) organization to investigate whether it’s possible to make equally capable assistants for medicinal chemists discovering new drugs. Such an agent could significantly speed up drug discovery, potentially saving lives.
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Krishnateja Killamsetty

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By Krishnateja Killamsetty
| Amazon Science
Amazon Security is seeking an Applied Scientist to work on GenAI acceleration within the Secure Third Party Tools (S3T) organization. The S3T team has bold ambitions to re-imagine security products that serve Amazon's pace of innovation at our global scale. This role will focus on leveraging large language models and agentic AI to transform third-party security risk management, automate complex vendor assessments, streamline controllership processes, and dramatically reduce assessment cycle times.
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