Dr. Yasantha Rajakarunanayake

Dr. Yasantha Rajakarunanayake

Senior Technical Advisor & Early Investor

Physicist, computer scientist, inventor and Silicon Valley technology leader. An early investor in Sellora AI and its Senior Technical Advisor.

Dr. Yasantha Rajakarunanayake is a Silicon Valley technology leader with more than 30 years of R&D experience, 130+ granted and pending patents, and senior roles spanning Broadcom, MediaTek and advanced AI computing. A globally accomplished physicist, computer scientist and inventor, he is an early investor in Sellora AI and serves as its Senior Technical Advisor & Early Investor, a decision that reflects his belief in the company's technology, vision and potential to build a globally significant fully autonomous Virtual SDR.

130+Patents
50+Publications
30+Years in Silicon Valley

The smartest guy at Princeton.

Jeff Bezos, recalling Dr. Yasantha Rajakarunanayake

Shaping the connected world

Dr. Rajakarunanayake has contributed to some of the technologies that helped shape the modern connected world. Across senior positions at Broadcom, MediaTek and Sagence AI, he has worked at the frontier of artificial intelligence, semiconductor systems, broadband infrastructure, Wi-Fi, wireless power, digital video, mmWave radar, indoor positioning, computer vision, medical imaging and low-power AI computing.

Inventions and patents

His innovation portfolio includes more than 130 granted and pending patents and patent applications, together with over 50 technical and scientific publications. His inventions span AI algorithms, wireless communications, intelligent sensing, digital satellite systems, video streaming, edge computing and energy-efficient machine-learning architectures.

At MediaTek and Sagence AI

At MediaTek, he pioneered advanced work in AI-powered mmWave radar, human-presence detection, gesture recognition, indoor positioning and automotive navigation. He also explored how AI methods could support medical imaging and cancer detection.

At Sagence AI, he led research into analog AI accelerators, in-memory computing, computer vision, generative AI, neural-network quantisation and high-accuracy inference using significantly lower computing power.

Princeton and Caltech

He earned his degree in Electrical Engineering and Computer Science from Princeton University before completing a PhD in Applied Physics at the California Institute of Technology. His career has also included university research, technology entrepreneurship and the development of early broadband and internet infrastructure.

The Princeton story

While at Princeton, Dr. Rajakarunanayake was a classmate of future Amazon founder Jeff Bezos. In a widely reported 2018 address, Bezos recalled turning to Yasantha after struggling for hours with a difficult mathematical problem. Yasantha recognised the solution almost immediately by connecting it to a problem he had encountered years earlier.

Bezos publicly described him as the "smartest guy at Princeton" and explained that the encounter became a defining moment in his decision to move away from theoretical physics.

Senior Technical Advisor to Sellora AI

Today, Dr. Rajakarunanayake brings that same depth of scientific thinking, pattern recognition and inventive ability to Sellora AI. As Senior Technical Advisor & Early Investor, he provides technical guidance across AI architecture, autonomous agent behaviour, conversational AI, model evaluation, inference efficiency and the long-term technical direction of Sellora AI.

More than an advisory appointment

His involvement with Sellora AI represents far more than an advisory appointment. It brings decades of Silicon Valley innovation, a portfolio of more than 130 patent achievements and the judgement of a technologist who has spent his career identifying and building technologies before they became mainstream.

A signal of credibility

For investors, customers and partners, Dr. Rajakarunanayake's early investment in Sellora AI and continued technical involvement provide a strong signal of scientific credibility, technical ambition and the potential to build a globally significant fully autonomous Virtual SDR.

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