# Alex Z.

> We are hiring!

Location: Palo Alto, California, United States
Profile: https://flows.cv/alexz1

Alex serves as the technical lead in mentoring and driving innovative teams and taking end-to-end ownership of key services, data pipelines, visualizations, and toolchains for external and internal users. Alex thrives on building large-scale maintainable and extendable systems, scaling up and down, tradeoffs, cross-function out- of-scope roles, and academic AI research and publications.

## Work Experience
### Senior Software Engineer @ Tinder
Jan 2023 – Present | Palo Alto, California, United States
Genai platform (RAG) and media platform (deep learning).

### Software Engineer III @ TuSimple
Jan 2022 – Jan 2023

### Software Engineer II @ TuSimple
Jan 2020 – Jan 2021 | California, United States

### Software Engineer @ TuSimple
Jan 2019 – Jan 2020 | Greater San Diego Area

### Research Assistant @ UC San Diego Jacobs School of Engineering
Jan 2018 – Jan 2019 | San Diego, California, United States
Data pipelines and anomaly data detection.

### Software Engineer Intern @ TuSimple
Jan 2019 – Jan 2019 | Greater San Diego Area

### Software Engineer Intern @ Housecall Pro
Jan 2019 – Jan 2019 | Greater San Diego Area
• Worked in the “community growth” team to develop business website for over 10k small business companies.
• Costumers of those small business companies can book and pay professional house call services via our website.
• Implemented backend in Ruby on Rails and SQL for fast development and efficiency.
• Built web frontend in React.js (thunk + redux) for scalability, integrated Material UI component library for efficiency/scalability.

### Software Engineer Intern @ Project in a Box
Jan 2018 – Jan 2018 | Greater San Diego Area
R&D team
• Developed “Human Intelligence”, a researcher networking platform MVP (web + mobile).
• Researchers can create/search profiles, post/search interdisciplinary projects to improve work efficiency.
• Implemented backend in Node.js and MongoDB for fast prototyping and scalability (availability).
• Built web frontend and mobile app in React.js (thunk + redux) for scalability, React Native (webview) for efficiency.
• Wrote unit tests with Jest, deployed on heroku to handle 1000~2000 search per second tested by Apache JMeter.

### Undergraduate Researcher @ University of Dayton
Jan 2015 – Jan 2017 | Dayton, Ohio, United States
•Co-authored machine learning paper on BMI published by IEEE flagship conference. 
•Developed new software suite via Brain Machine Interface (EEG) to control a 7 DoF robotic arm..
•Increased the Identification accuracy range from 35%~38% to 40%~100% based on different subjects. 
•Reduced EEG brain signals training process from minutes to 1 second and  classification process from seconds to real time based on SELM (State-Persevering Extreme Learning Machine).
•Developed Demo Universal State Machine interface to perform various activities.


## Education
### M.S in Electrical and Computer Engineering, AI / data
UC San Diego
Jan 2017 – Jan 2019

### Bachelor of Electrical Engineering (B.E.E.)
University of Dayton
Jan 2015 – Jan 2017


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

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Source: https://flows.cv/alexz1
JSON Resume: https://flows.cv/alexz1/resume.json
Last updated: 2026-03-22