About

I work on Large Language Models : inference optimization, knowledge editing, and agentic systems.

My current focus areas include:

• LLM Inference : Scalable serving and optimization on modern accelerators
• Knowledge Editing : Post-hoc factual updates to LLMs without retraining (ROME, MEMIT, AlphaEdit)
• Agentic Systems : Multi-agent orchestration, tool-use pipelines, and MCP (Model Context Protocol)
• LLM Evaluation : Dynamic benchmarking frameworks for factual accuracy and temporal reasoning

Open Source

• Contributor to vLLM : High-throughput LLM serving engine
• Contributor to llm-d : Kubernetes-native LLM inference platform
• Contributor to EasyEdit : Knowledge editing framework for LLMs (ACL 2024)

Publications

• Deep Learning-driven Detection of Nuclear Fusion Ignition
• Martian Terrain Classification through Federated Learning
• Exploring Huntington's Disease Diagnosis via AI Models

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