Summary
Vijay Rajanna is a Principal Research Engineer with 11+ years of experience building machine learning and computer vision systems that enable next-generation touch, force sensing, haptics, and eye-tracking interfaces. He has led R&D teams at Sensel and HarmonEyes, shipping haptic touchpads integrated into flagship laptops and architecting real-time models that infer fatigue, cognitive load, and other human states from eye movements. His Ph.D. work blends HCI, cognitive psychology, and predictive analytics to create gaze-assisted, multimodal interaction techniques and dwell-free text entry, with applications in accessibility, cybersecurity, and education. Vijay combines deep algorithmic expertise (CNNs, transformers, VLMs) with hands-on systems experience across C/C++, Python, PyTorch, and embedded productization, making him effective at taking research into mass-market hardware. He is notable for translating eye-movement features into practical real-time predictors in collaboration with neuroscientists and for creating automated robotic tests to validate sensor quality for production. Based in Sunnyvale, he brings a research-first mindset to product engineering, focusing on user studies and statistical rigor to drive intuitive human-computer interactions.
11 years of coding experience
16 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Bachelor's Degree Computer Science and Engineering, Bachelor's Degree Computer Science and Engineering at Visvesvaraya Technological University
Doctor of Philosophy (Ph.D.) Computer Science - Human-Computer Interaction - Eye Tracking, Doctor of Philosophy (Ph.D.) Computer Science - Human-Computer Interaction - Eye Tracking at Texas A&M University
English