people

members of the lab or group


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Hi, I’m Waris Gill, a 5th-year PhD candidate in Computer Science at Virginia Tech. I’m currently working as an Applied Scientist (intern) at Microsoft, focusing on enhancing the safety and defense of Microsoft’s Generative AI systems (e.g., Azure OpenAI).

Previously, in collaboration with Cisco, my work MeanCache led to real-world adoption of semantic caching for LLMs. As a Machine Learning Engineer (intern) at Redis, I developed redis/langcache-embed-v1 and v2 embedding models for semantic caching, with thousands of downloads on Hugging Face, outperforming both open- and closed-source models from OpenAI and Amazon on tasks related to semantic caching.

My research mainly focuses on interpretability techniques for distributed privacy-preserving AI systems and stress-testing Large Language Models (LLMs) in complex software engineering tasks. My work is published in prestigious computer science venues such as ICSE, FSE (SE4SafeML), MSR, and IPDPS.

Advisor & Mentor


prof_pic.jpg

555 your office number

123 your address street

Your City, State 12345

Hi, I’m Waris Gill, a 5th-year PhD candidate in Computer Science at Virginia Tech. I’m currently working as an Applied Scientist (intern) at Microsoft, focusing on enhancing the safety and defense of Microsoft’s Generative AI systems (e.g., Azure OpenAI).

Previously, in collaboration with Cisco, my work MeanCache led to real-world adoption of semantic caching for LLMs. As a Machine Learning Engineer (intern) at Redis, I developed redis/langcache-embed-v1 and v2 embedding models for semantic caching, with thousands of downloads on Hugging Face, outperforming both open- and closed-source models from OpenAI and Amazon on tasks related to semantic caching.

My research mainly focuses on interpretability techniques for distributed privacy-preserving AI systems and stress-testing Large Language Models (LLMs) in complex software engineering tasks. My work is published in prestigious computer science venues such as ICSE, FSE (SE4SafeML), MSR, and IPDPS.

Advisor & Mentor