Summary
Rishi Rajasekaran is an Applied Scientist at Amazon working on Alexa AI, with 11 years of experience building NLP and ML-driven personalization and ranking systems. He has led LLM-powered recommendation and ranking efforts for Echo Show ambient content, driving measurable engagement lifts and deploying provider-level impression allocation models. His background spans production ML at scale—PySpark, Hive, TensorFlow and Airflow—from prior roles at Walmart Global Tech and enterprise Java engineering at Morgan Stanley. Rishi has delivered cross-market conversational ambiguity detectors and clarification models that enabled Alexa error recovery across five languages, a practical impact not obvious from job titles alone. He pairs a 4.0 MS in Computer Science with hands-on teaching and mentoring experience, evidence of both technical depth and commitment to knowledge transfer. Based in Sunnyvale, he combines research-level modeling with pragmatic systems engineering to ship personalized, proactive voice experiences.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Technology (B.Tech.), Computer Science, Bachelor of Technology (B.Tech.), Computer Science at National Institute of Technology Tiruchirappalli
University of California Santa Cruz
English, Tamil