QuCoWE: Quantum Contrastive Embeddings with Variational Circuits for Near-Term Quantum Devices
Rabimba Karanjai
About Me
Rabimba Karanjai is a Staff Agent Researcher at Paypal and a PhD graduate from the University of Houston. His research focuses on Artificial Intelligence, specifically Large Language Models (LLMs), reasoning, and secure generation. He is also a Google Developer Expert in Web Technologies and Machine Learning.
Education
PhD Computer Science
University of Houston
MS Computer Science
Rice University
Interests
Artificial Intelligence (LLMs, Reasoning)
Blockchain & Decentralized Systems
Software Engineering & Formal Verification
Web Technologies
Quantum Computing
Mobile & Edge Computing
📚 My Research
I am a Staff Agent Researcher at Paypal and a PhD graduate from the University of Houston. My research focuses on Artificial Intelligence, specifically Large Language Models (LLMs), reasoning, and secure generation.
My work spans across AI reasoning, decentralized systems, blockchain applications, and mobile computing. I investigate how to design and implement systems that can efficiently handle the challenges of distributed, resource-constrained environments while ensuring security and privacy.
Feel free to reach out for research collaborations or discussions!
Distinguished Publications
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1 min read
Decentralized Application Infrastructures as Smart Contract Codes
Rabimba Karanjai
Recent Publications
(2026).
QuCoWE: Quantum Contrastive Embeddings with Variational Circuits for Near-Term Quantum Devices.
AAAI 2026.
(2025).
Synthesizing Public Opinions with LLMs: Creation, Impacts, and the Future to eDemocracy.
IEEE ICEDEG 2025.
(2025).
Weaving the Cosmos: WASM-Powered Interchain Communication for AI Enabled Smart Contracts.
arXiv 2025.
(2025).
AgentTester: A Multi-Agent Approach for Enhancing Unit Test Generation.
AIWare 2025.
(2025).
AI-Based Personalized Interventions for Atherosclerosis using Microbiota Signatures.
SynBio 2025.
Recent & Upcoming Talks
From Whiteboard to Users: Making Research Accessible
Discussing how to bridge the gap between academic research and practical user applications.
Unmasking the Shadows: AI Red Teaming in the Age of Gemini and VertexAI, fortified by SAIF
Exploring AI Red Teaming strategies using Gemini and VertexAI.
Web AI: New models, tools, and APIs for your next web app
Covered key web ML updates from Google Chrome, TensorFlow.js, MediaPipe Web, Core ML, and Visual Blocks.