About Me
With over 17+ years of experience in ML/AI, I have developed large-scale machine learning and deep learning models across various domains, including retail, FMCG, search relevance, computational advertising, and voice assistants. I have led technical efforts on improving speech recognition and language understanding at Amazon Alexa and built Contextual Advertising at Amazon Ads. At Alexa, I built personalized, self-healing error correction foundation models that learn from daily user interactions—enabling run-time query rewriting with speculative execution for low-latency, high-throughput inference on accelerated hardware. My technical leadership bridges research and production—driving early adoption of cutting-edge advancements in LLMs, Multimodal LLMs, RAG, agents, and cognitive architectures. I hold patents and have published in the areas of speech, language, and information retrieval. I actively contribute to the research community as a reviewer for NeurIPS, ICML, KDD, AMLC, ARA, and EMNLP, and I’m a Senior Member of IEEE (Seattle Chapter).
I am recognized for my first-principles thinking and a constant-learning mindset, qualities that have consistently led to innovative and unconventional solutions to challenging problems. Additionally, I have advised early-stage startups in the advertising and healthcare space. I love reading books (non-fiction), hiking outdoors, landscape/astro photography, and spending time with family.
Past Life: Management Consultant for a Fortune-50 CPG Pharma advising one of the world's largest loyalty program rollouts.
