Bio
Jetashree Ravi is a Tech Lead Manager on Fireworks AI's Applied Machine Learning team, focused on LLMs, high-performance GPU inference, fine-tuning, developer platforms, and making production AI systems reliable at scale.
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Jetashree Ravi is a Tech Lead Manager at Fireworks AI, where she leads part of the Applied Machine Learning Engineering team building production-grade AI systems and making fine-tuned models land reliably in production for enterprise clients. Her recent 2026 talks deliver practical, production-tested playbooks for reinforcement fine-tuning (RFT) — covering dataset structuring, evaluation loops, reward signal design, and avoiding reward hacking — making her session useful for engineers moving fine-tuning from prototype into real systems. She is also a co-author of the FireBench benchmark for evaluating instruction following in enterprise LLM applications.