INTRO.md

Ultra-short (tagline)

Co-founder & CEO, A — building private, efficient, adaptive AI through full-stack (algorithms→hardware) co-design.

Short (LinkedIn summary)

I’m the Co-Founder and CEO of A, an AI company focused on private, efficient, and adaptive intelligence. Previously, I was research faculty in computer science at B. After a decade in academia, I started A to help organizations build and deploy personalized AI. We rethink the entire stack—algorithms, models, systems, and hardware—to unlock step-change gains in performance and efficiency. Our vision: a unified platform for autonomous agents that reason, communicate, and adapt like humans—only faster and with greater precision.

Medium (website bio)

I’m the Co-Founder and CEO of A, where we develop private, efficient, and adaptive AI. Before A, I spent ten years as research faculty in computer science at B. At A, we help companies build and deploy personalized AI by re-architecting the full stack. We co-design algorithms, models, systems, and hardware to deliver orders-of-magnitude improvements in speed and compute efficiency. Our long-term vision is a unified platform for autonomous agents that can reason, communicate, and adapt like humans—faster and with greater precision. My work centers on algorithm–system co-design for cloud and edge AI. I’m motivated by advancing the Pareto frontier of intelligence, speed, and efficiency—because in today’s landscape, siloed design leaves performance on the table. True breakthroughs come from cross-layer optimization, not from tuning one layer at a time.

Long (speaker intro / About page)

I am the Co-Founder and CEO of A, an AI company dedicated to private, efficient, and adaptive intelligence. Prior to A, I spent a decade as research faculty in computer science at B. That experience convinced me that building in silos no longer works: algorithm choices, model architectures, system design, and hardware/compilers are deeply intertwined. At A, we help organizations build and deploy their own personalized AI by rethinking the full stack. We co-design algorithms, models, systems, and hardware to unlock step-function gains in performance and compute efficiency—often achieving results that isolated optimizations can’t approach. Our vision is a unified platform for fully autonomous agents that reason, communicate, and adapt like humans, but with greater speed and precision. My research and industry focus is algorithm–system co-design for cloud and edge AI. I’m most passionate about pushing the Pareto frontier of capability, latency, and efficiency. Cross-layer optimization isn’t a preference; it’s essential to advancing the frontier of AI.

Optional closing line (if you want a values note)

We build with privacy by default, efficiency by design, and adaptability as a first-class objective.