Summary
Overview
Work History
Education
Skills
Publications
Timeline
ResearchAssistant

Vincent (Mao-Siang) Chen

San Diego,CA

Summary

Recent graduate with foundational knowledge in Computer Science and hands-on experience gained through academic projects and internships. Demonstrates strong teamwork, problem-solving, and time-management skills. Prepared to start career and make meaningful contributions on LLM applications and ML infra with commitment and drive.

Overview

2
2
years of professional experience

Work History

Open Source Committer

Flyte
06.2024 - Current
  • Company Overview: Workflow Orchestration Platform for ML Pipelines — Python, Golang, k8s
  • Supported JSON/YAML files as input source for workflows.
  • Enhanced Flytekit’s containerization flexibility by implementing support for additional copy commands in ImageSpec, enabling more customizable image builds for diverse workflows.
  • Fixed 6 bugs to build robust serialization over union and dataclass types.
  • Contributed 1000+ lines of code, and created 15+ pull requests.

AI Research Intern

Omnichat, Inc.
01.2024 - 05.2024
  • Company Overview: AI Research Intern, Advisor: Louis Yau — Python
  • Combined retrieval augmented generation (RAG) with vector databases, AI agent, and automation workflow to create a demo customer service chatbot. Estimated to save 50% of time for customer services.
  • Integrated with large language model (LLM), simplifying the creation of automatic promotion workflow into a single sentence of natural language. Achieved over 90% correctness and increased 30% efficiency for promoters to send customized sales messages.
  • Utilized prompt engineering techniques to improve the performance of the Omni AI message generator, achieving a 30% increase in accuracy for creative sales message generation and tone conversion.

Research Assistant

Natural Language Processing Lab
07.2023 - Current
  • Company Overview: Undergraduate Research Assistant, Advisor: Dr. An-Zi Yen
  • Collaborated with Prof. An-Zi Yen and led the authorship of the paper in lecture abstract-based student question generation system, accepted by IJCAI'24 at Jeju.
  • Fine-tuned open source models with self-collected datasets, achieving up to 15% better results compared to SOTA models

Education

M.D. - Computer Science

University of California, San Diego
La Jolla, CA
12-2026

Bachelor of Science - Computer Science

National Yang Ming Chiao Tung University
06.2024

Skills

  • Programming languages: Python, C, MySQL, LaTeX, Shell scripting, Golang
  • Web Development: Experienced with React, Vue, Prisma, Tailwind CSS

Publications

M.S. Chen, A.Z. Yen (2024). E-QGen: Educational lecture abstract-based question generation system. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI).

Timeline

Open Source Committer

Flyte
06.2024 - Current

AI Research Intern

Omnichat, Inc.
01.2024 - 05.2024

Research Assistant

Natural Language Processing Lab
07.2023 - Current

M.D. - Computer Science

University of California, San Diego

Bachelor of Science - Computer Science

National Yang Ming Chiao Tung University

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Vincent (Mao-Siang) Chen