Samuel Collins Email & Phone Number

SKILLS SUMMARYProgramming Languages & Frameworks: Java, Python, Javascript, VueJs, NuxtJS, NodeJS, HTML, CSS, TailwindCSS, TensorFlow, VOSK.Software Tools: Eclipse; JIRA, Confluence, GitHub, Git, VS Code, Postman, ScriptRunner, MS Suite, Power AppsEXPERIENCESoftware Developer Intern, CACI ASF, (Ashburn, VA) 06–08/2020, 06/2021 – PresentLed team of 5 interns using AGILE methodology to improve sprint velocity.Created a web application (MongoDB Atlas, Express, NodeJS) to automate the process known as capacity planning to improve sprint velocity company wide.Leveraged asynchronous methods to communicate with the database to read and write user, historical, and changelog data efficiently.Followed best practices when storing user credentials, such as hashing and salting passwords before storage in the database.Used SCRUM and AGILE methodologies to lead a team of 4 on the creation of the web app planning poker.Created a web application to replicate an Agile process known as planning poker. Utilizing NodeJS, ExpressJS, and the websocket framework socket.io for real-time multiplayer.Software Developer Intern, WhiteHawk CEC Inc, (Alexandria, VA) 06–08/2018, 12-08/2019Developed responsive web pages using Vuejs following a NuxtJs Framework. Utilized JIRA for Configuration Management (CM) and GIT for version control.Utilized Postman to unit test for accuracy and integration with front-end UI components.Integrated AWS Cognito authentication into the native platformBuilt APIs to help integrate Salesforce into the native platform.Built APIs for connection with NoSQL DynamoDB database. EDUCATIONJames Madison University (Harrisonburg, VA) August 2019 - PresentSoftware Development & Computer Science Major SIDE PROJECTS (See GitHub):Raspberry Pi – Integrated TensorFlow facial recognition AI, VOSK speech recognition AI, motion sensors, and various APIs, such as Spotify, weather, market data, and more to create an independent private personal assistant. (Python, JS)GPT-NEO – Utilized GPT-NEO (2.7B parameters) on raspberry pi, as a deep learning natural language processor. (Python)

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  James Madison University

  Computer Science