New
Amazon
Software Engineer
Staff Machine Learning Engineer
8
Years of experience
I am a Lead ML Engineer & Researcher with over 10 years of experience in AI and ML space. I am currently leading a foundational ML team driving 0 to 1 AI‑powered personalization efforts for Conversational Commerce, powered by Deep Learning and GenAI, at a late-stage startup and have previously led AI-powered user personalization at Twitter and Amazon. I specialize in designing low-latency, large-scale Deep Learning models and shipping them to production. I have extensively published in NLP (Large Language Model / GenAI), Deep Learning, and Applied ML domains accumulating over 800 citations, and currently utilize my expertise as part of the research committee at leading AI conferences like ICML, KDD, TheWebConf, and so on. Due to my extensive contributions to ML Research, I am recognized by the US Government as one of the outstanding researchers. I campaign for a data-centric approach to AI and have coauthored a book on the topic: Sculpting Data for ML. This book is a practical guide on curating quality datasets that lay a strong foundation for an ML pipeline. Hinged on this ideology of throwing the limelight on the mindful practices of dataset curation, I have shared my views and best practices in the form of technical talks, panels, podcasts, blog posts, and so on. I actively share my learning through Machine Learning blogs and it has reached over 150k+ people around the world so far. My work has been featured extensively in media, notably by TechCrunch, Times of India, The Sun, Hindustan Times, Gizmodo, NBC, and Slash Film. Additionally, it's being used in Deeplearning AI's "Natural Language Processing in TensorFlow" course, training material for Google's TensorFlow professional certification program, and an NSF-funded project, Narrative Modeling with StoryQ, to teach the concept of text classification models to high school students. The Data Science community has utilized my research artifacts hundreds of thousands of times to learn and apply ML concepts on leading platforms like Kaggle.
Senior ML Engineer
Software Engineer
Amazon
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