Curriculum Vitae
Education
💾Texas A&M University
College Station, TXDoctor of Philosophy in Computer Engineering
Thesis: Efficient LLM Inference: Sparsity, Parallelism, and Hardware-Aware System Design
Advisor: Dr. Narasimha Reddy
University of Texas Arlington
Arlington, TXBachelor of Science in Electrical Engineering with Honors
Minor in Computer Science
Honors Thesis: A novel remote sensing system for in-situ measurement of subsurface soil properties
Professional Experience
NVIDIA
Senior AI and HPC Engineer- Working on MoE inference efficiency at scale, optimizing throughput and latency for agentic workloads.
NVIDIA
Research InternSanta Clara, CA
- Designed novel model parallelism architecture for distributed multi-node multi-GPU LLM inference
- Developed and integrated parallelism architecture in vLLM
NVIDIA
Research InternAustin, TX
- Led research to accelerate LLM inference via activation and contextual sparsity
- Built sparsely activated OPT and LLaMA models by training activation routers for MLP and Attention layers
- Developed custom sparse GPU kernels achieving 1.5–3× speedup in MLP layers and up to 2.5× in Attention
- Delivered end-to-end decoding speedups up to 2.2× across diverse batch sizes and sequence lengths
Samsung Semiconductor Inc.
Research InternSan Jose, CA
- Reduced CPU workload by 4× and accelerated neural inference by 64% through data pipeline and model execution optimization
- Filed 2 patent applications for efficient neural information retrieval
Texas A&M University
Graduate Research AssistantCollege Station, TX
- Led a project that resulted in a 23% speedup in embedding processing for large-scale information retrieval
- Developed scalable multi-vector retrieval systems for large language models
- Published research at top-tier venues including NeurIPS and ISMM
Patents
System and Method for Embeddings Retrieval
US Patent Application US20240330193A1 • Samsung Electronics Co., Ltd.
View Patent →System and Method for Processing Embeddings
US Patent Application US20240330290A1 • Samsung Electronics Co., Ltd.
View Patent →Technical Skills
Systems & Performance
Machine Learning
Development & Tools
Specialized
Honors & Awards
Innovation Day Award 2021
Dean's List 2018–2021
Academic Excellence Award 2016
Cambridge Learners Award 2015