# Yiqun Z.

> Software Engineer | Full-Stack & Machine Learning/AI

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/yiqun

I’m a Software Engineer with experience ranging from developing machine learning and AI models to building full-stack web applications.

As a startup veteran, I’ve contributed from zero to one, helped scale beyond, and love the energy of turning ideas into products that make a real impact.

Let’s connect and explore how we can collaborate!

## Work Experience
### Software Engineer @ MLflow.js
Jan 2024 – Present | San Francisco Bay Area
- Led development of the MLflow.js from inception to production, establishing code standards and defining roadmap.
- Architected the library using object-oriented principles and design patterns. Implemented modular components and abstractions in TypeScript, creating intuitive APIs while ensuring maintainability and extensibility.
- Engineered Docker with Docker Compose to containerize the backend in Node.js, standardizing dependency management and build processes while streamlining developer onboarding.
- Orchestrated testing and CI/CD pipeline, achieving 87% coverage with Jest integration tests and establishing automated workflows for tests, builds, and releases, ensuring reliable and efficient delivery.
- Built end-to-end machine learning pipelines with TensorFlow.js, demonstrating integration across experimentation and deployment, validating functionality and accelerating adoption.
- Delivered a developer portal using React and Next.js, enabling self-service learning and reducing support overhead.

### Data Science & Machine Learning @ IPSY
Jan 2019 – Jan 2023 | San Francisco Bay Area
- Developed end to end machine learning models to optimize user acquisition, retention and personalization.

### Founding Analytics Hire @ Helix
Jan 2017 – Jan 2019 | San Francisco Bay Area
- Built the analytics platform from the ground up. Presented to C-level executives on the health of the business and provided actionable insights. Initiated and implemented a broad range of projects for business functions including product, marketing, partnership, strategy and finance, etc.
- Created models on customer segmentation and churn prediction,  conducted cohort and repeat purchase analysis to drive growth of the business. 
- Designed and analyzed A/B testings for the e-commerce site to improve user experience and optimize conversions. Conducted funnel and user behavior analysis to derive hypothesis.

### Data Scientist @ LeEco US
Jan 2016 – Jan 2017 | Greater San Diego Area
- Performed data mining and text analytics to discover consumer insights on smart devices industry enabling management to make informed decisions. Conducted analysis on audience behavior of video-on-demand and streaming content on the platform.
- Created an image sequence classification model to recognize motions of smart device users. One use case was to enable our smart TVs automatically pause if audience leave.

### Data Scientist @ Galvanize Inc
Jan 2015 – Jan 2016 | San Francisco Bay Area
- Implemented and utilized a wide range of machine learning algorithms and big data processing techniques to build data products.
- Lectured for machine learning and mathematics courses of the M.S. in Data Science program at University of New Haven. Directed Python labs and machine learning practicum.

### Consultant @ Deloitte
Jan 2013 – Jan 2015 | Greater New York City Area
Risk management.

### Summer Intern @ China Construction Bank (Asia) Corporation Limited
Jan 2011 – Jan 2011 | Beijing, China


## Education
### Master of Science in Data Science
The Johns Hopkins University

### Triple Bachelor's in Mathematics, Statistics, Finance
Miami University


## Contact & Social
- LinkedIn: https://linkedin.com/in/yiqunzheng

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