Karanbir Singh

I am an AI/ML Engineer and Engineering Leader with 8+ years of experience building and scaling production-grade machine learning systems, agentic AI solutions, and distributed cloud platforms across fintech, automotive, and enterprise SaaS. I currently serve as a Tech Lead at Salesforce, where I lead mission-critical initiatives in cloud substrate automation, capacity and quota management, and AI-powered observability for globally distributed infrastructure with 99.99% availability.

At Salesforce, I am the product lead for automated capacity and quota management across AWS and GCP, designing decision engines that dynamically govern resource allocation based on demand, historical usage, and operational constraints. I have also led the development of agentic AI systems that automate on-call workflows, resolve infrastructure patching issues, and diagnose cloud build and provisioning failures during global data-center bring-up, reducing mean time to resolution (MTTR) by ~30%.

My research interests include Responsible AI, Retrieval-Augmented Generation (RAG), and Agentic AI, with peer-reviewed publications at ACM WWW, KDD workshops, and IEEE conferences. I am a co-author of technical books published by Springer/Apress and BPB Publications, and I regularly serve as a judge and peer reviewer for leading international conferences, journals, and industry awards. I am also an invited speaker at global AI and developer forums.

My work sits at the intersection of AI systems, cloud infrastructure, and operational excellence, with a focus on building trustworthy, scalable, and impactful AI solutions in real-world production environments.