Girish Kulkarni
Technology & Product Innovator with 15+ years of experience in Engineering Leadership, Software & Applications Development, and Enterprise Solution Architecture & Design for the Healthcare, Telecom, and IT Services & Technology sectors
Interests: Machine Learning, Gen AI, Computer Vision, Natural Language Processing, Algorithms, Artificial Intelligence
Bio
Since 2007, Girish Kulkarni has enabled organizations build next generation products and teams, unlocked operational efficiencies in clinical care, lowered providers’ administrative cost, and directly improved millions of patient health outcomes. As a strategic advisor to C-level and senior healthcare decision makers, Girish strategically influences and pairs operational, business and technical objectives at scale. His achievements in driving operational excellence, AI automation, mass vaccination workflow optimization, and innovation in clinical care systems have been featured in various national news outlets. Girish is widely respected for his ability to lead and grow large technical teams, turn around under-performing systems and applications, and synchronize communication and collaboration between large technical and non-technical stakeholder groups.
Publications
BabyTalk: Understanding and Generating Simple Image Descriptions [Link]
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Dec 2013.
Im2Text: Describing Images Using 1 Million Captioned Photographs [pdf]
Neural Information Processing Systems (NIPS), 2011.
BabyTalk: Understanding and Generating Image Descriptions [pdf]
CVPR 2011, IEEE conference for Computer vision and Pattern recognition.
Composing Simple Image Descriptions using Web-scale N-gram
CoNLL 2011, Conference on Computational Natural Language Learning [pdf]
Awards
Longuet Higgins Prize at CVPR 2021 (Link)