Shard-Any-LLMs
Jan 1, 2025
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1 min read
Selected research software.
- Developed an automated model-sharding workflow for distributing large language models across multiple GPUs, with command-line interfaces, Hugging Face integration, and environment-based authentication.
Authors
Postdoctoral Researcher, BridgeAI Lab
I’m a postdoctoral researcher in the BridgeAI Lab at the University of Central
Florida, where I study how language models and AI systems should be evaluated,
selected, and deployed when aggregate benchmark scores do not capture semantic
behavior, user requirements, or deployment constraints. I completed my Ph.D. in
Computer Science and Software Engineering at Auburn University in 2025, advised by
Dr. Sathyanarayanan N. Aakur and co-advised by
Dr. Shubhra Kanti (Santu) Karmaker, with a dissertation
on evaluating semantic and contextual alignment in language models. My current work
combines model evaluation, resource-aware model selection, and scalable inference
into reproducible methods for matching AI models to real-world tasks.