About Me
Rabimba Karanjai is a Staff Agentic AI Researcher at PayPal Research. He completed his Ph.D. in Computer Science at the University of Houston (defended July 2025), where his research focused on the intersection of blockchain, secure AI reasoning, and LLM-assisted program analysis and repair.
Education
Ph.D. in Computer Science
University of Houston
M.S. in Computer Science
Rice University
Interests
Agentic AI & AI Reasoning
LLMs Security & Smart Contracts
Decentralized Systems & Blockchain
Formal Verification & Software Engineering
Web VR & High Performance Computing
Research Overview
I am a Staff Agent Researcher at PayPal and a PhD graduate from the University of Houston, advised by Prof. Weidong (Larry) Shi. My research sits at the intersection of AI reasoning, decentralized systems, and software security.
Core research areas:
- LLM Reasoning & Code Generation — Multi-agent architectures for reliable code/test generation (AgentTester, LogBabylon) and hallucination mitigation
- Blockchain & Smart Contract Security — Cross-chain vulnerability detection, decentralized infrastructure, and formal verification of smart contracts
- Quantum-Enhanced ML — Quantum contrastive embeddings for near-term devices (QuCoWE, AAAI 2026)
I am a Google Developer Expert in Web Technologies & ML, a 3x Sui Foundation Research Award recipient, and serve as Associate Chair for CSCW 2026.
Distinguished Publications
Grants & Funding
- Sui Foundation Academic Research Award (2023, 2024, 2025) — Primary Investigator, $25,000/year for research on decentralized infrastructure and smart contract security
- Grant for Web — Primary Investigator, $15,000 for advancing privacy-preserving and decentralized web technologies
- Google Cloud Research Innovator (2023, 2024) — Cloud credits and research support for AI/ML projects
Research Projects
LLM Reasoning & Code Generation
Investigating how Large Language Models reason, generate code, and can be made more reliable through multi-agent architectures and hallucination mitigation.
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Quantum Computing & AI
Developing quantum-enhanced machine learning techniques for near-term quantum devices.
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Blockchain & Decentralized Systems
Building secure, scalable decentralized infrastructure with smart contracts, cross-chain frameworks, and AI-powered vulnerability detection.
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Edge Computing & Trusted Execution
Exploring secure inference and trusted execution environments at the edge, combining IoT, blockchain, and TEE technologies.
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WebVR & Web Technologies
Optimizing virtual reality performance on the web through WebGL and browser-level parallelism improvements.
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Recent Publications
(2026).
Empowering Smart Contracts with Real-time On-Chain AI Inferences.
IEEE ICBC 2026.
(2026).
CausalGraphX: A Counterfactual Graph Neural Network Framework for Explainable Systemic Risk Assessment.
AAAI 2026 (AI4Finance).
(2026).
QuCoWE: Quantum Contrastive Word Embeddings with Variational Circuits for Near-Term Quantum Devices.
AAAI 2026 (QC+AI).
(2026).
Aligning Vision Language Models via anchor.
NeurIPS 2026 (Under Review).
(2026).
Allocation Before Ranking: Decoupled Token Compression for OmniLLMs.
NeurIPS 2026 (Under Review).
Recent & Upcoming Talks
Beyond the Chatbot: A Blueprint for Trustable AI
Talk at Google Deepmind (2026).
United in Defense: Architecting Safe and Trustworthy AI Agents
Talk at BSides Seattle (2026).
Google I/O 2025: GDE Summit, From Whiteboard to Users
Talk at Google I/O 2025 (2025).
From Whiteboard to Users: Making Research Accessible
Talk at Google I/O GDE Summit (2025).
Unmasking the Shadows: AI Red Teaming in the Age of Gemini and VertexAI, fortified by SAIF
Talk at Drexel University Seminar (2025).
Professional Service
- Associate Chair, ACM CSCW 2026
- Scientific Advisory Committee, Texas Quantum Initiative (2025)
- Google Developer Expert, Web Technologies (2018-present) & Google Cloud (2024-present)
- Reviewer: IEEE ICBC, ACM CSCW, BRAINS