Summary
Kalanand Mishra is an AI leader with ~18 years of experience translating advanced research into production-grade recommendation and personalization systems, now directing Applied AI – AI Foundations at Capital One in Mountain View. He has built and scaled in-house recommender platforms for 100M customers, led development of foundation models trained on internal customer data, and engineered sub-100ms real-time scoring pipelines at high throughput. His background spans from particle physics—where he contributed ML methods critical to the Higgs discovery—to applied work in healthcare, cybersecurity, and digital marketing, giving him an unusual blend of scientific rigor and product delivery. He emphasizes causality-aware transformers, latency-throughput tradeoffs, and risk-first assessments for financial and compliance safety in AI systems. Known for enabling thousands of online experiments annually, he combines deep probabilistic modeling with pragmatic engineering to move models from prototype to SLAs in production.
18 years of coding experience
18 years of employment as a software developer
Doctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at Stanford Linear Accelerator Center
English