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 building Contextual Advertising at Amazon Ads. My technical leadership in research and applied science spans early adoption of state-of-the-art research into ML products, driving science efficiency and accelerating innovation. I have worked on SOTA research applications in LLMs, Multimodal LLMs, RAG, Agents and Congitive Architecture. 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.
