Proficient: Python, Java
Tools: Git, SLURM, Jenkins, UNIX
Confidential, Ewing, NJ
- Designed a machine learning infrastructure with a team of 5 students and faculty in Python using machine learning and statistical analysis libraries such as scikit - learn, numpy, pandas, and matplotlib.
- Improved the speed of the infrastructure by 95% by adding support for parallel processing on the High Performance Cluster (HPC).
- Researched and integrated active learning stopping methods into a machine learning infrastructure in order to reduce annotation cost within the Natural Language Processing (NLP) field.
Confidential, Philadelphia, PA
Software Engineering Intern
- Increased the efficiency of the Quality Assurance team by creating a Node.js application that automatically generates unit testing reports, which can be filtered by date, device type, operating system, etc.