Curriculum Vitae

EDUCATION

Master of Human Computer Interaction and Design

Bachelor of Science in Computer Science

Concentrations: Intelligence and Media

Minor in Industrial Design

Working on the Scaled Enforcement Tools Team
Designed and executed the migration of a legacy tool to advance my organization’s consolidation initiative
Improved the architecture of a chrome web extension and implemented 3 new features to enhance bug reporting
Provided support for and resolved 10+ bugs and issues to ensure our services were running in a healthy state
Implemented, updated, and tested 8+ APIs across several internal tools and services
Delivered 2 technical design documents and actively contributed additional documentation for 3+ tools
Ensured all our applications authenticate through S2S to enable privacy and data protection between services
Utilized TypeScript, JavaScript, ReactJS, Scala, Thrift, and Git

Developed and tested 4 safety and management service applications used to support sort technology
Designed and implemented safety mechanisms to provide authentication and authorization for an android app
Improved collection of performance metrics to auto-generate alarms for service monitors
Deep dive into operational problems to develop root cause analysis and provide solutions to operational risks
Implemented cooldowns mechanisms to prevent throttling of high-impact services
Designed and implemented an auditing workflow that supports bulk actions and integration with S3 buckets
Technologies used: Java, Ruby, Typescript, ReactJS, AWS

Designed AI-assistants that use machine learning to make authentication decisions for physical spaces
Developed an Android application that handles real-time face recognition using Microsoft Face
Utilized Google Firebase for real-time database access and authentication

Cleansed and provided modeling and analyses of structured and unstructured data for anomaly detection
Designed and implemented animated data visualizations with Matplotlib and NetworkX
Conducted research on acoustic data using Neural Networks with TensorFlow and Neo4j

Developed a travel-themed chatbot that collects location and date to provide a weather prediction
Developed a poem-generating web application using Watson Tone Analyzer and Natural Language Understanding
Used Spark Machine Learning to predict purchases from unfiltered clickstream data with up to 70% accuracy
Created two PixieApps that allow easier data query from Postgres and Cloudant databases