Niki Parmar is a seasoned machine learning researcher and engineer with 11 years of experience building foundational NLP and multimodal models, currently a Member of Technical Staff at Anthropic. As a co-founder and early technical leader at Adept AI and Essential AI, he has blended product-focused engineering with cutting-edge research that enables models to take actions and interact with tools. He was a core contributor on the Transformer paper and led scaling and cross-domain applications of transformer models for image generation and vision at Google Brain, with work that underpins many modern large-model systems. Trained at USC and active in academic publishing, he bridges rigorous research (see scholar profile) with startup execution and production-grade systems. Less obvious: he pairs deep theoretical contributions with hands-on distributed systems and deployment experience dating back to ad-serving and large-scale backend roles, making him fluent from prototypes to production.
11 years of coding experience
12 years of employment as a software developer
Master's Degree Computer Science, Master's Degree Computer Science at University of Southern California
Bachelor of Engineering (BE) Information Technology, Bachelor of Engineering (BE) Information Technology at Pune Institute of Computer Technology
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Niki Parmar - Member Of Technical Staff at Anthropic