# Baotang (Tom) Zu

> Software Engineer @ AWS

Location: New York, New York, United States
Profile: https://flows.cv/baotang

Building next-gen developer experience using LLM @ AWS

## Work Experience
### Software Engineer @ Amazon Web Services (AWS)
Jan 2024 – Present | New York, New York, United States
Building agentic AI for developer experience

### Software Engineer Intern @ Amazon
Jan 2023 – Jan 2023 | San Francisco Bay Area
• Overhauled the team’s user activity reports generation and maintenance process, built and maintained backend pipeline and packages, identified and resolved 20+ tickets.. 
• Refactored the dedicated report generation spark jobs into a single overarching spark job to produce all reports, while the vendor requirements are represented in JSON configuration files as inputs.
• Identified and resolved 5+ production-breaking discrepancies.
• Condensed 7000 lines of code down to 1500 lines, reducing system complexity by over 75%, with the use of Scala, Spark, Python, and Airflow.
• Shortened team’s new report onboarding time from over 20 days down to just under 3 days.
• Increased job runtime and decreased cost by 20%, by migrating to Spark 3.4.0 and AWS EMR 6.12.

### Undergraduate Researcher @ UCSB College of Engineering
Jan 2021 – Jan 2022 | Santa Barbara, California, United States
• Working under the guidance of Professor Xifeng Yan, contributed to developing a task-oriented chatbot to teach and help users with cooking or DIY.
• Using Spacy and Panda, constructed a machine learning algorithm to extract important information such as
food names, cooking methods, time, ingredients, etc. with a final accuracy of 96%.
• Analyzed over 141,000 recipes in a database containing 210,000 wikiHow pages using python and HTML.
• Wrote code in RASA format, simulating over 100 possible user interactions in YAML based on user feedback.

### Research Assistant @ UCSB College of Engineering
Jan 2020 – Jan 2021 | Santa Barbara, California, United States
• Developed a web based computer vision algorithm to aid researchers in analyzing neural tissue images.
• Using C++ and OpenCV library, the algorithm takes microscopic image stacks of nervous tissues, labels the
neurons in real-time, and outputs a 3D reconstruction of their locations. Achieved over 95% coverage of neurons.
• Migrated the algorithm to web using Node.js, creating a npm package with bindings to the OpenCV C++ library.
• Helped researchers improve efficiency by 80% when analyzing neural patterns and densities.


## Education
### Master's degree in Mechatronics, Robotics, and Automation Engineering
University of Michigan

### Bachelor of Science - BS in Physics & Computer Engineering
UC Santa Barbara

### High School Diploma
Tower Hill School


## Contact & Social
- LinkedIn: https://linkedin.com/in/baotang-tom-zu

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Source: https://flows.cv/baotang
JSON Resume: https://flows.cv/baotang/resume.json
Last updated: 2026-04-05