Abi Aryan is an AI infrastructure engineer and founder of Joule, an inference power economics engine connecting GPU energy, token throughput, and SLO goodput. She works across distributed systems, GPUs, compilers, networking, cluster efficiency, and large-scale LLM serving. She is also a doctoral researcher in AI HPC distributed systems, an educator on AI inference engineering, and the author of LLMOps: Managing Large Language Models in Production.
Abi Aryan is an AI infrastructure engineer and founder of Joule, an inference power economics engine connecting GPU energy, token throughput, and SLO goodput. She works across distributed systems, GPUs, compilers, networking, cluster efficiency, and large-scale LLM serving. She is also a doctoral researcher in AI HPC distributed systems, an educator on AI inference engineering, and the author of LLMOps: Managing Large Language Models in Production.
Career
Abi Aryan studied at Doctoral research in AI HPC Distributed Systems (Doctoral research focused on SLO-aware inference optimization, hardware-aware compiler design, and digital twins for energy optimization), NOVA IMS (Master's in Information Management Systems), The London School of Economics and Political Science (MSc Applicable Mathematics), and MDU (BSc (Honors) Mathematics).