Hi, I'm Yanbo Zhao

Data Science Student & Software Engineer

I'm a Data Science major at UC Santa Barbara, currently working as a Software Engineering Intern at Nue.io. I'm passionate about transforming data into meaningful insights and building scalable software solutions.

Get In Touch View My Work

About Me

I'm a dedicated Data Science student at UC Santa Barbara with a strong foundation in both theoretical concepts and practical applications. My journey in technology began with a fascination for how data can tell stories and drive decision-making.

Currently, I'm gaining valuable industry experience as a Software Engineering Intern at Nue.io, where I work on developing innovative solutions and contributing to cutting-edge projects. This role has allowed me to bridge the gap between data science and software engineering.

I'm particularly interested in machine learning, data visualization, and building scalable web applications. I enjoy tackling complex problems and am always eager to learn new technologies and methodologies.

Experience

July 2025 - September 2025

Software Engineering Intern

Nue.io • San Mateo, CA

  • Launched Ask Nue chatbot widget with React TypeScript iframe sandboxing and cubic-bezier animations, delivering responsive plug-and-play AI across desktop, tablet, and mobile client sites.
  • Architected a multimodal backend on Node.js Fastify integrating GPT-4 and Vision APIs; streamed text, image, and PDF answers with sub-5s latency and fault-tolerant retry pipelines.
  • Instrumented the stack with HyperDX, OpenTelemetry, and 100% Jest test coverage over eight domain APIs, generating real-time traces and automated alerts that accelerated debugging cycles.
September 2024 - June 2025

Intern Product Manager and Product Engineer

WithFeelingAI • Remote

  • Optimized and engineered advanced AI logic within the company's product, achieving an improvement in accuracy from under 80% to over 98%, significantly elevating operational reliability.
  • Conducted surveys with over 300 users to identify pain points, implementing solutions and feature updates that resulted in a measurable 20% increase in user satisfaction and retention.
  • Managed the company's online presence, launching social media campaigns that successfully attracted over 70,000 new users to the app, expanding market reach and product visibility.
July 2024 - September 2024

Data Research Intern

Nue.io • San Mateo, CA

  • Built and deployed a product recommendation chatbot for the company's website using Python, Langchain, and OpenAI's GPT, enhancing site visitor engagement and improving sales efficiency.
  • Developed the chatbot leveraging API-driven user database queries and seamlessly integrated it into the company's platform, streamlining the workflow and creating a frictionless buying experience.
  • Led optimization efforts on database retrieval, API interactions, and recommendation logic, achieving 95% accuracy and reducing recommendation time from 80 seconds to under 7 seconds.
June 2022 - September 2022

Data Analyst

Cal Poly Pomona NSF REU Mobility Scooter Research Project • Pomona, CA

  • Developed multimodal deep learning models using Python to predict high-risk behaviors in mobility scooter users, achieving 78% prediction accuracy and contributing to safer usage assessments.
  • Orchestrated a dual Raspberry Pi data capture system, collecting synchronized multi-axis sensor and heart rate data, forming a comprehensive dataset for behavior analysis.
  • Analyzed and annotated a dataset of over 45,000 points, enabling the effective training of LSTM networks, and facilitating nuanced understanding of risk behaviors.

Want to learn more?

Download Yanbo Zhao's Resume

Technical Skills

These are the skills I enjoy working with, but not the only tools in my toolbox.

C
C++
Python
TypeScript
SQL
R
React
Next.js
Node.js
Fastify
GraphQL
TensorFlow
GPT-4
LangChain
PyTorch
Vision API
Docker
Redis
GitLab CI/CD
HyperDX
OpenTelemetry
Jest

Publications

Mobility Scooter User Driving Behavior Classification Based on Deep Neural Networks

Marc Cruz, Sherelene De Beleh, Russel Janairo, Yanbo Zhao, Isha Raheja, and Tingting Chen

IEEE Big Data 2022 Osaka, Japan, December 2022

Research on developing multimodal deep learning models to predict high-risk behaviors in mobility scooter users, achieving 78% prediction accuracy and contributing to safer usage assessments.

View Publication

Featured Projects

Data Analytics Platform

A comprehensive data analytics platform built with Python and React. Features real-time data visualization and machine learning insights.

Python React PostgreSQL Docker

Machine Learning Model

Predictive model for analyzing user behavior patterns with 95% accuracy. Implemented using ensemble methods and feature engineering.

Python Scikit-learn Pandas Jupyter

Full-Stack Web Application

Responsive web application with user authentication, real-time updates, and RESTful API integration.

React Node.js MongoDB Express

Get In Touch

I'm always open to discussing new opportunities, collaborating on projects, or just having a conversation about data science and technology.

Email

yanbozhao716@gmail.com

Phone

(626) 678-5262