people
members of the lab or group

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
- Dr. Muhammad Ali Gulzar (Virginia Tech)
- Dr. Ali Anwar (University of Minnesota Twin Cities)

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
- Dr. Muhammad Ali Gulzar (Virginia Tech)
- Dr. Ali Anwar (University of Minnesota Twin Cities)