Daniel Guo

Daniel Guo

Passionate about building the systems and environments that enable AI agents to reason, collaborate, and act reliably in complex real-world workflows.

Hi, I’m Daniel 🐑

Chasing AGI with Agency and Multimodal Understanding.

Machine Learning Engineering Intern at SHEIN; incoming M.S. student in ECE at Carnegie Mellon.

I explore two frontiers:

  • Building efficient, agentic, and multimodally intelligent models
  • Designing scalable multi-agent systems for complex real-world tasks

Interests

  • AI agents, multi-agent systems, and agent infrastructure
  • Multimodal AI across text, images, graphs, and voice
  • RAG, data pipelines, retrieval systems, and databases
  • AI for healthcare/finance, software engineering, and high-stakes domains

Experience

SHEIN

Machine Learning Engineering Intern

Apr. 2026 - Present

  • Established a SWE-bench-style coding benchmark pipeline that mines internal code repositories, generates tests and tasks, and evaluates coding-agents performance.

Z.ai

Software Engineer Intern

Jan. 2026 - Mar. 2026

  • Architected an agent harness and testing automation workflows for Mercedes-Benz QNX software testing.

UC San Diego

Research Assistant

Advisor: Prof. Pengtao Xie

Repo: MetaboliteChat

Mar. 2025 - Sep. 2025

  • Combined pre-trained CNN/GNN encoders with LLaMA and Vicuna-13B to enable multimodal metabolite analysis.

New York University

Research Assistant

Advisor: Prof. Juliana Freire

Jan. 2025 - Dec. 2025

  • Implemented agentic data-quality assessment pipelines and optimized downstream task performance on open datasets.

Goldman Sachs Gao Hua Securities

Machine Learning Engineering Intern

Jun. 2024 - Sep. 2024

  • Developed a hybrid-retrieval RAG system for financial research, with multi-source information pipelines supporting data ingestion and retrieval.

Education

Services

Teaching

Data Management and Analysis Teaching Assistant

Intro to Computer Science Teaching Assistant