Rabimba Karanjai 💻

Rabimba Karanjai

(he/him)

Staff Agentic AI Researcher

PayPal Research

University of Houston

Google

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.

Key Achievements
35+
Peer-Reviewed Publications
28 as first author across AAAI, IEEE ICBC, ACM FSE, USENIX Security, KDD, and more
4
US Patents
1 issued (US11025643B2) + 3 pending (PayPal) covering AI, voice commerce, and authentication
4x
Research Grants
$90K+ from Sui Foundation (3x) and Grant for Web as Principal Investigator
85+
Invited Talks
Google I/O, OSCON, NDC Sydney, FOSDEM, KubeCon, Stanford, MIT, Berkeley RDI, and more
🏆
ACM SIGSOFT Distinguished Paper Award
ACM AIWare 2025 — Securing the Multi-Chain Ecosystem
🎓
Best Dissertation Award
Dan E. Wells Outstanding Dissertation Award & UH CS Best Dissertation (2025)
Google Developer Expert
Web Technologies (2018–present) & Google Cloud AI/ML (2024–present)
🔥
NVIDIA Developer Champion
Recognized for contributions to AI and GPU computing community (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

AI Race Coach (Project Koru)

Built a real-time AI Race Coach at Sonoma Raceway with Google Developer Experts, using Antigravity, Gemini API, Gemma 4, and Jetpack Compose to process live telemetry at 100 mph.

LLM Reasoning & Code Generation featured image

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.

Quantum Computing & AI featured image

Quantum Computing & AI

Developing quantum-enhanced machine learning techniques for near-term quantum devices.

Blockchain & Decentralized Systems featured image

Blockchain & Decentralized Systems

Building secure, scalable decentralized infrastructure with smart contracts, cross-chain frameworks, and AI-powered vulnerability detection.

Edge Computing & Trusted Execution featured image

Edge Computing & Trusted Execution

Exploring secure inference and trusted execution environments at the edge, combining IoT, blockchain, and TEE technologies.

Recent Publications
(2026). Context Contamination in LLM Analysis of Network Security Logs: Poison with Passive Prompt Injection and Mitigation Evaluation. USENIX Security 2026 (To Appear).
(2026). Empowering Smart Contracts with Real-time On-Chain AI Inferences. IEEE ICBC 2026.
(2026). Rethinking Publication: A Certification Framework for AI-Enabled Research. arXiv:2604.22026.
(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. QC+AI 2026.
Recent & Upcoming Talks

Google I/O GDE Field Test — AI Race Coach at Sonoma Raceway

Built a real-time AI Race Coach with Google Developer Experts using Antigravity, Gemini API, Gemma 4, and Jetpack Compose. Processed live telemetry at 100 mph to deliver …

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Rabimba Karanjai
Beyond the Chatbot: A Blueprint for Trustable AI featured image

Beyond the Chatbot: A Blueprint for Trustable AI

Talk at Google DeepMind on building trustable AI systems beyond simple chatbots. **Key points:** - Moving from conversational AI to agentic AI architecture - Safety frameworks for …

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Rabimba Karanjai
United in Defense: Architecting Safe and Trustworthy AI Agents featured image

United in Defense: Architecting Safe and Trustworthy AI Agents

Talk at BSides Seattle 2026 on architecting safe and trustworthy AI agents. **Key points:** - Adversarial robustness for multi-agent AI systems - Defense frameworks against …

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Rabimba Karanjai
Google I/O 2025: GDE Summit, From Whiteboard to Users featured image

Google I/O 2025: GDE Summit, From Whiteboard to Users

Talk at Google I/O 2025 GDE Summit on bridging research and practice. **Key points:** - From academic research to production AI at PayPal - The GDE program's role in knowledge …

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Rabimba Karanjai
From Whiteboard to Users: Making Research Accessible featured image

From Whiteboard to Users: Making Research Accessible

Talk at Google I/O GDE Summit 2025 on making academic research accessible to practitioners. **Key points:** - Translating PhD research into real-world products - Lessons from …

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Rabimba Karanjai
Recent Blog Posts
Splitting the Brain to Beat the Clock featured image

Splitting the Brain to Beat the Clock

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Rabimba Karanjai
The Throughput Trap: Benchmarking vLLM on OpenXLA and the Reality of Production LLM Serving featured image

The Throughput Trap: Benchmarking vLLM on OpenXLA and the Reality of Production LLM Serving

vLLM Systems · DevLab 2026, Deep Dive I was recently invited by the Google TPU team to speak at the OpenXLA Summer DevLab 2026 . This post breaks down our deep-dive evaluation of …

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Rabimba Karanjai
Teaching the Coach to Read the Driver featured image

Teaching the Coach to Read the Driver

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Rabimba Karanjai
Racecraft (Project Koru) · Prologue — The Origin Story featured image

Racecraft (Project Koru) · Prologue — The Origin Story

The origin story of Project Koru — building an AI Race Coach at Sonoma Raceway with Google Developer Experts, Antigravity, and Gemini.

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Rabimba Karanjai
The 800-Millisecond Problem featured image

The 800-Millisecond Problem

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Rabimba Karanjai
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