Vincent Tu
Research Intern at Collinear AI
San Gabriel, California, United States
Summary
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Rockstar🎓
Top SchoolVincent Tu is an M.S. Computer Science researcher and engineer focused on LLMs, language agents, and computer-use reasoning, currently interning at Collinear AI and formerly driving agent research at Simular. He leads the open-source Agential project, building a plug-and-play Python toolkit and CI-backed experiments that standardize agent benchmarking and accelerate reproducible research. His work at Simular delivered substantial benchmark gains (e.g., +32.7% on OSWorld) and produced a compositional agent framework under review at COLM 2025. Vincent combines academic research at UCSD’s Q-Lab with hands-on MLOps experience—deploying LLM-based systems using Hugging Face, W&B, Docker, Kubernetes, and AWS—and has shipped production ML pipelines for tabular credit models. Prior contributions span biological computer vision tools (SLEAP/dreem) and technical writing for Weights & Biases, reflecting a habit of translating research into practical, community-facing artifacts. He’s notable for bridging rigorous benchmark-driven research with pragmatic tooling that helps teams reproduce and deploy agentic systems.
6 years of coding experience
2 years of employment as a software developer
University of California, San DiegoGPA (UW/W): 3.98/4.65, Rank: 6/409, GPA (UW/W): 3.98/4.65, Rank: 6/409 at Gabrielino High School
English, Chinese
Github Skills (30)
retrieval-augmented-generation10
gateway10
planning10
robotics9
computer-vision8
vertex-ai8
anthropic8
azure-openai8
openai-gym8
llm8
openai8
langchain8
image-processing8
pytorch7
artificial-intelligence7
Programming languages (3)
Github contributions (5)
alckasoc/Joblisting-Cleaning-EDA
May 2021 - Dec 2022
Contributions:44 commits, 40 pushes, 7 branches in 1 year 7 months
simular-ai/Agent-S
Nov 2024 - Apr 2025
Agent S: an open agentic framework that uses computers like a human
Contributions:4 releases, 5 reviews, 12 PRs in 5 months
agent-computer-interfaceai-agentscomputer-automationexperience-augmented-hierarchical-planninggui-agents
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