Summary
Tarun Krishna is a Senior AI Engineer and PhD-trained researcher specializing in self-supervised and multimodal representation learning, with nine years of experience spanning industry and academia. He developed efficient conditional-computation methods for on-device inference during an industry collaboration (BMVC 2023) and now explores unifying diverse modalities into lightweight, data-efficient foundational models. Based in Dublin, he combines hands-on engineering at companies like Xperi and Staqu with doctoral research at Insight SFI Centre, focusing on reducing reliance on labeled data for video and image understanding. Pragmatic about production constraints, he targets architectures that balance accuracy, inference cost, and adaptability to multimodal tasks. Actively seeking applied research roles, he brings both publication-grade research and deployed-system experience to bridge lab ideas and industry impact.
9 years of coding experience
7 years of employment as a software developer
Electronics and Communications Engineering, Electronics and Communications Engineering at The LNM Institute of Information Technology
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at University of Amsterdam
Doctor of Philosophy - PhD, Machine Learning, Computer Vision, Deep Learning, Doctor of Philosophy - PhD, Machine Learning, Computer Vision, Deep Learning at Dublin City University
English, Hindi