AWS Sustainability

* ML for driver document auto-review;

* Software to manage driver compliance and background check on Lyft platform

Software for sustainability and carbon footprint calculation. Life cycle assessment.

• 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;

• 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.