# Runsheng Song

> Sr. Software Engineer, Amazon Web Service

Location: Seattle, Washington, United States
Profile: https://flows.cv/runsheng

## Work Experience
### Senior Software Engineer @ Amazon Web Services (AWS)
Jan 2024 – Present | Greater Seattle Area
AWS Sustainability

### Senior Software Engineer @ Lyft
Jan 2021 – Jan 2024 | Greater Seattle Area
* ML for driver document auto-review;
* Software to manage driver compliance and background check on Lyft platform

### Software Development Engineer, Sustainability @ Amazon
Jan 2019 – Jan 2021 | Greater Seattle Area
Software for sustainability and carbon footprint calculation. Life cycle assessment.

### Lead Python Backend Developer, Research Assistant @ UC Santa Barbara
Jan 2014 – Jan 2019 | Santa Barbara, California Area
• Conducted research in Life Cycle Assessment, predicting impact and life cycle inventory through chemical structure.
• Developed the CLiCC tool (https://clicc.net/), which helps LCA researchers to estimate chemical life cycle impact through web UI.
• Developed groups of modules, including ANNs using Tensorflow, in Python to estimate the environmental impacts of chemicals from different perspectives;
• Created RESTful APIs in Flask and Django to wire-up the Python modules with a front-end in React;
• Developed the backend which handles multiple user requests and long tasks asynchronously using uWSGI, Celery and RabbitMQ. Wrapped-up services in Docker and deployed it on AWS with docker swarm;

### Artificial Intelligence Fellow @ Insight Data Science
Jan 2018 – Jan 2018 | San Francisco Bay Area
• Developed a web platform, Michaniki, that allows user to use, build, and retrain image classifiers using custom images for any classes;
• Conducted transfer learning and fine-tuning on a pre-trained Inception V3 CNN model in Tensorflow, Keras and Celery. Built a stable inference sever using Redis and Flask that can handle massive user requests;
• Wrapped-up all services of Michaniki using Docker. Made it easy to deploy.

### Data Scientist Intern @ Autodesk
Jan 2016 – Jan 2016 | San Francisco Bay Area
Data Scientist intern in the Green Smart Building team (Autodesk Insight 360); Worked on ML models to predict building energy efficiency using building features that are extracted from user submitted building design files;

### Research Assistant -- Intern @ National Center for Ecological Analysis and Synthesis
Jan 2013 – Jan 2013


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

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