About Me
HEALTHCARE | RESEARCH | DECENTRALIZED COMPUTE | GENERATIVE AI

Krishnendu Dasgupta is a computer science engineer specializing in applied machine learning for healthcare, generative AI, distributed computing, and AI applications across supply chain, consumer business, and cybersecurity. He focuses on graph machine learning, NLP and speech processing with visual interfaces, reinforcement learning, and decentralized AI. His contributions include privacy-preserving AI solutions, scalable large-language models, and computer-vision systems that power clinical-trial recommendations, disease ontologies, and patient-discovery platforms. By combining deep technical expertise with capital-efficiency, market research, and go-to-market strategy, he delivers scalable, impactful AI solutions.

Over the past decade, Krishnendu has held senior roles at Mondosano GmbH, PwC, NTT Data, and Thoucentric, leading AI-driven transformations in healthcare, supply chain, and cybersecurity. As CTO of TrialBridge, he co-founded and built a stealth-mode AI platform in Germany with Dr. Julia Hitzbleck to streamline patient recruitment for clinical trials. Earlier, he led an NVIDIA Inception incubator-backed medical-imaging startup and developed graph-based systems integrating patient, drug, and symptom data.

A passionate mentor and volunteer, Krishnendu has served as Section Leader for Stanford’s Code in Place (2024–25), mentor for the UN SDG Hackmaker program, research volunteer at PathCheck Foundation, and judge/mentor at HackMIT and NITI Aayog’s Atal Innovation Mission. He contributed to MIT Hacking Medicine’s collaboration with the Maharashtra Innovation Society and reviews for Apress, Springer Nature, the Journal of Computer Sciences and Informatics, and the Journal of Engineering Research and Reviews.

As founder of Axonvertex AI , a sole-proprietorship research firm , he was Principal Investigator for National Institute of Standards and Technology (NIST) projects on AI risk assessment and generative model evaluations, and advanced decentralized-inference and robotics research. His work has been recognized with the Molypix AI Sponsor Award at MIT’s AI in Filmmaking Hackathon (Feb 2025), a $100 K NVIDIA Inception grant, and appointment as a UNDP ExpRes Roster–vetted consultant for AI deployments (2025).A speaker on AI at AICRA, PGIMER, and AI_DEV Europe (2025).