About
Chitral Patil
Chitral Patil is an AI infrastructure researcher/builder and Hindustani classical vocalist working on LLM inference economics, open-source tooling, and product experiments.
Chitral Patil is an AI infrastructure engineer/researcher and Hindustani classical vocalist. His recent work focuses on LLM inference economics: measuring the real cost of serving open-weight models under production-like constraints rather than relying on static token calculators. He created vllm-cost-meter, an open-source tool for live vLLM cost telemetry, as a companion to his arXiv paper.
He has also built startup/product projects including Propael, worked on data science and software systems, and has a long-running music practice rooted in Hindustani classical vocals.
Current focus
Systems
प्रणाली
LLM serving, vLLM, Prometheus telemetry, GPU economics, and the cost of latency.
Sound
स्वर
Hindustani classical vocals — riyaz, raag, and the long discipline of listening.
Product
अभ्यास
Tools that solve a painful real problem, shipped and written about in the open.