Cameron Quilici

Texas A&M alum, Math and Computer Science.

Interests: ML systems, performance engineering, machine learning.

GitHub
LinkedIn
cameron@semianalysis.com
cjquilici@gmail.com

Experience

SemiAnalysis, Member of Technical Staff, 2025 - present

• Build and maintain InferenceX, an open-source, continuously updated LLM inference benchmark across NVIDIA and AMD GPUs.
• Benchmark and tune inference engines (vLLM, SGLang, Dynamo) on GPU clusters, including disaggregated serving.
• Co-write SemiAnalysis articles on LLM inference performance and economics.

Hewlett Packard Enterprise, Software Engineer, 2024 - 2025

• Built a platform for serving LLMs at scale on Kubernetes with KServe, integrating inference engines like vLLM, SGLang, and TensorRT-LLM.
• Worked on AI inference infrastructure after moving teams in late 2024.

Determined AI (acquired by HPE), Software Engineer Intern, summer 2023

• Worked on running containerized ML workloads on HPC schedulers (Slurm, PBS).
• Improved CI/CD infrastructure and test performance on cloud VMs.
• Worked with GCP, Terraform, Packer, and Ansible.

Determined AI (acquired by HPE), Software Engineer Intern, summer 2022

• Worked on distributed ML training on HPC clusters.
• Built developer tooling for remote job submission and Slurm integration.
• Worked with Docker, Kubernetes, Go, REST APIs, and CI/CD.

Texas A&M University, Undergraduate Research Assistant, 2023 - 2024

• Implemented high-performance graph algorithms with the GraphBLAS C API under Dr. Tim Davis.
• Graph Clustering Algorithms in GraphBLAS

Last updated Sep 2026