Summary
Rishabh Misra is a Principal ML Engineer and tech lead based in San Francisco, specializing in low-latency, large-scale deep learning and personalization systems with nine years of industry experience and a decade-long footprint in AI research. Currently driving LLM pretraining, post-training, and personalization at Atlassian, he has previously built and led personalization and ranking teams at Attentive, Twitter, and Amazon, shipping production ML that moved key business metrics. A published researcher and conference reviewer with over 1,000 citations, he coauthored the practical book Sculpting Data for ML and advocates a data-centric approach to model development. He combines hands-on systems work—distributed training, ANN serving, mixed-precision and latency engineering—with product-minded multi-objective optimization and prompt-powered personalization. His technical leadership extends to advising top tech firms, creating production-ready GenAI courses, and producing widely read ML content that has reached over 150k people globally. Notably, his research artifacts are used in industry training (Deeplearning.ai, TensorFlow certification) and high-impact academic venues, bridging research and real-world ML adoption.
9 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Thapar Institute of Engineering & Technology
University of California, San Diego
English, Hindi