Abi Aryan Inference Infra Queen (GPU Infra & LLM Serving)
Abi Aryan is the ex-founder of Abide AI and a machine learning engineer with over a decade of experience building production-level ML systems.
A mathematician by training, she previously was a visiting research scholar at UCLA, supervised by the 2012 Turing Award winner, Dr. Judea Pearl, where she focused on developing intelligent agents.
Abi has authored research papers in AutoML, multi-agent systems, and large language models, and actively reviews for leading research conferences and workshops, including NeurIPS, ACL, EMNLP, and AABI
She is currently teaching and advancing doctoral research at the intersection of several key areas:
• Distributed systems
• GPU engineering for large-scale AI systems
• SLO-Aware Inference Optimization
• Low-cost chip design
• AI Policy
Courses
Multi-day, guided programs to get real results
AI Inference Engineering & Systems Design
Most engineers load models with Hugging Face then serve something basic and get stuck on cost, latency, or scale. In this course, we will
AI Inference for Forward Deployed Engineering Roles
You'll understand what's happening inside AI models
Lightning Lessons
Free, interactive sessions to explore new topics
How to do Observability right?
How much will my model cost? Napkin Maths 101
What happens when you make an LLM call?
Whats next for AI Engineers?
