Drexel Univeristy

Bachelor of Science in Computer Science
Minor in Data Science
Concentration in Game Programming and Development

Lockheed Martin - Software Engineer

• Collaborated with external teams to decouple a tightly integrated software component from the SSDS combat system and allow it to be swapped with a newly developed component, enabling ships to run either component easily by modifying property files
• Identified points of coupling within the combat system codebase and modified source code, build configuration files, and various scripts to ensure decoupling of the software components
• Stood up new microservice using Spring Boot, capable of receiving and sending Protobuf messages through an Artemis broker
• Wrote entire automated testing suite for the microservice and implemented coverage reporting with Jacoco, ensuring necessary cases were tested and programming standards were met
• Containerized the microservice using Docker and wrote Helm chart to allow installers deploy to a Kubernetes cluster
• Investigated issues submitted to the team daily, performing root cause analysis to determine point of introduction as well as writing detailed solution needed within the code
• Focused on issues pertaining to data, specifically data gathering with SQL queries and data population in the product’s Java Swing GUIs
• Wrote code and thorough automated unit and integration tests for each issue worked
• Implemented a product feature to capture Java UncaughtExceptions using a Navy preferred method of data recording, which has since been used extensively in documenting new issues
• Created UML and sequence diagrams for several product enhancements and presented them to stakeholders
• Utilized Jira, Confluence, and BitBucket to track assigned tasks, update team documentation, and implement fixes for software issues

Lockheed Martin - Systems Engineer Co-op

• Worked on the integration, testing, and verification of several high priority initiatives within the program
• Wrote test procedures for several new implementations, specifically targeting regression, unit, and integration tests
• Utilized Rational DOORS to reference, modify, and create requirements for Aegis Combat System
• Collaborated with team and SME’s daily to gather information and perform tasks effectively
• Fully investigated issues submitted to the team, writing detailed proposed solutions when applicable or directing to the appropriate team
• Wrote Java code to fix the test failures and issues encountered while executing test procedures
• Utilize Jira, Confluence, and BitBucket to track assigned tasks, update team documentation, and implement fixes for software issues

Data Scientist Co-op - Comcast

• Participated in key stages of the Data Science Lifecycle including data mining, data cleaning, and exploratory data analysis
• Performed ad hoc analysis for several key Comcast initiatives used by senior management for pivotal business decisions
• Developed dynamic project planning modules to aid Scrum Masters in sprint development, capable of being customized for each Scrum Master’s requirements
• Wrote custom scripts to manipulate and feed data to several modules for team’s Data Science portal
• Planned, documented, coordinated, and executed QA Testing Efforts for a team initiative
• Wrote key documentation including a Business Requirements Document, Products Requirements
• Documents, Data Design Document, QA Test Plan, QA Test Scripts, and Project Plan
• Worked with AWS S3, AWS SageMaker, Impala, Hive, Python and Zeppelin for data storage, data analysis, and data labeling applications

Manual QA Tester - Customized Energy Solutions

• Analyzed business requirements and technical acceptance criteria each sprint to create comprehensive test cases, consisting of positive, negative, and regression scenarios
• Utilized Bitbucket to check each user story’s commits to see changes made, to know how the tested functionality should work, and to find additional test case scenarios
• Conditioned test data through the webservice’s UI, RESTful API POST requests, and SQL queries when unconditioned test data was not sufficient for all necessary testing scenarios
• Executed test plans to validate new and existing UI functionality, RESTful API GET and POST requests, CSV file data import processes, and successful data extractions to client-facing AWS hosted databases
• Utilized technologies such as SQL Server Profiler and Azure Service Bus to test various queue-based and backend processes
• Utilized different team collaboration tools such as Jira, Bitbucket, and Confluence to report results of testing, analyze code changes, and document important information for future reference