Dr. Marcus Vance
Principal MLOps Engineer
Alumni of University of Cambridge
Dr. Marcus Vance leads MLOps infrastructure and distributed model serving at Esaholic. He specializes in GPU cluster optimization, vLLM throughput scaling, vector database indexing, and continuous evaluation pipelines.
Marcus holds a PhD in Computer Science from the University of Cambridge, focusing on distributed systems and parallel neural network execution. Prior to joining Esaholic, he engineered high-throughput inference backends handling over 50M daily requests.
Areas of Technical Expertise
MLOps & LLMOps vLLM & TensorRT-LLM Distributed GPU Clusters Vector DB Optimization Qdrant & Milvus Scaling Prometheus Model Monitoring
Credentials & Certifications
- ✓ PhD Computer Science — University of Cambridge
- ✓ NVIDIA Certified Deep Learning Professional
Talks & Keynote Presentations
Scaling Small Language Model Inference on Consumer Hardware
MLSys Europe • 2025