At Whitesky.cloud, I architect and maintain Python Flask REST APIs with MongoDB for an enterprise CaaS platform. I also built responsive Vue.js interfaces for B2B clients managing private cloud infrastructure.
During Google Summer of Code, I developed a guesser API system for MDAnalysis to improve molecular attribute predictions. I contributed over 2,000 lines of code and modified more than 86 modules, with testing using PyTest.
In my projects, I built data pipelines and machine-learning applications, including a used-car price predictor that achieved 92% accuracy. I’ve also created a job prediction platform and a Chicago crash data pipeline with visualizations.
