Research

Research Interests

My research focuses on building multi-agent systems for distributed infrastructure, reasoning about stochastic system failures, orchestrating recovery, and designing scalable, interpretable AI infrastructure for large-language-model and reinforcement learning agents in real-world computing environments.

Current Research

LLM-Based Multi-Agent Framework For Troubleshooting Distributed Systems

Key Contributions:

• Advancing KubeLLM, an IEEE Cloud Summit 2025 Best Paper framework, by integrating agentic reasoning for autonomous diagnosis and recovery in Kubernetes clusters.
• Implementing an independent verification layer that cross-checks LLM actions against system logs, metrics, and retrieved documentation to prevent low-confidence executions.
• Optimizing retrieval-augmented generation (RAG) pipelines and distributed inference to improve accuracy-latency tradeoffs across multi-agent configurations.
• Conducting benchmarking using KubeLLMBench to evaluate Llama 3.3, GPT-4o, Gemini 1.5 Flash, and o3-mini, analyzing performance, cost, and reliability trade-offs for scalable AI-driven DevOps.

Publications

Word2Vec4Kids: Interactive Challenges to Introduce Middle School Students to Word Embeddings

Key Contributions:

• Engaging in an Independent Study supervised by Prof. Martin, developing AI tools for children, and co-authoring a collaborative paper summarizing project objectives and outcomes.
• Teamed up to create the "Word2Vec4Kids" macOS app using Xcode, Swift, and SwiftUI, integrating interactive elements to illustrate Word2Vec's role in computer comprehension of English.
• Aiming to demystify AI concepts in an engaging manner for the targeted study audience: students at Basis School-San Antonio.

Previous Research

A Step Towards Quantum-safe Encryption

Key Contributions:

• Independently conducting research within the Course-based Undergraduate Research Experience (CS-CURE) course under the leadership of Prof. Fernandez at UTSA.
• Exploring alternative methods for distributing Bell pairs beyond satellite-based systems, developing innovative protocols for secure data transmission in Quantum Computing and Communication research.
• Collaborating with Prof. Gibson-Lopez (Quantum Algorithms) and Prof. Fernandez through real-time discussions and experiments to advance research objectives.

Education

Research Tools & Technologies

Interested in Collaboration?

I'm always open to discussing research opportunities, collaborations, and graduate program applications.