Experience

• Comcast
  Machine Learning Engineer II - IV
  07/21 - Present


• George Washington University, Department of Computer Science
  Graduate Assistant (PhD)
  09/19 - 12/20
  • Performed analysis of bias in ride-hailing pricing algorithms in Chicago, including data collection, experiment design, and novel metric development; first author of project accepted at AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AAAI/ACM AIES 2021)
  • Contributed to analysis of Twitter content for biases related to COVID-19 outbreak, performing state of the art techniques for bias measurement on GloVe word embeddings; 2nd author of paper accepted at IEEE International Conference on Semantic Computing
  • Performed teaching assistant role in introductory machine learning course and introductory python programming course


• UVA Center for Advanced Vision Science
  Software Engineer - Bioinformatics
  10/17 - 05/19
  • Performed regression analysis on large patient insurance claim dataset to predict patient survival and determine drug efficacy; co-author of two resulting publications in Nature Communications and PNAS
  • Ported and analyzed large patient insurance claim data set on a high performance cloud computing platform using Slurm workload manager


• Nokia Bell Labs
  Software Engineer Intern - Machine Learning
  06/19 - 08/19, 06/18 - 08/18
  • Designed pipeline for diagnosing and deploying fixes on Openstack cloud architecture using long short-term memory neural network developed using Keras, successfully correcting >80% of detected faults
  • Implemented real-time anomaly detection on Openstack cloud architecture using autoencoder neural network developed using Keras
  • Project was selected to be presented to Nokia Bell Labs senior leadership and CEO from among all other interns and given Nokia Bell Labs Innovation Project Award


• Deloitte Consulting LLP
  Business Technology Analyst
  07/16 - 08/17
  • Led testing and validation of state eligibility notice generation system
  • Created design documentation for application additions
  • Communicated between client stakeholders and development team to facilitate adaptation of application change requests


• UMASS Amherst CS 326: Web Programming
  Grader
  07/16 - 08/17
  • Reviewed and corrected student Node.js JavaScript code
  • Provided feedback to students on their code and project ideas
  • Directed student project development and JavaScript programming


• ConvergeHealth
  Software Engineer Intern
  06/15 - 08/15, 06/14 - 08/14
  • Debugged and extended multiple pieces of data mining software
  • Created user interface for an application demo system
  • Created demo presentations for data mining applications