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Java Project

Los Angeles, California, United States
November 19, 2018

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Benjamin Jennings 818-***-****

Language Proficiency


I have extensive experience with the Java environment, including the design and implementation of closed caption quality assurance software for AT&T/DirecTV. HTML:

I have designed and implemented websites and online marketplaces for multiple small businesses. CSS:

It is rare that I decide to utilize CSS libraries like Bootstrap. I prefer to code my own CSS in order to obtain the precise aesthetic that I am after. JavaScript:

I have experience utilizing various JavaScript frameworks including AngularJS, and JQuery. I have also utilized JavaScript for backend development and database management with MEAN stack web applications. SQL:

I have experience creating and managing databases with a variety of SQL iterations including MySQL and MariaDB. Python:

My Python experience includes the use of Jupyter Notebooks, NumPy, and scikit-learn. Work Experience

Apple Inc (August 2017-present) - Technical Specialist I utlize hardware diagnostics tools and perorm modular repairs on various iOS devices. Management positions with various companies throughout my university career developed skills in task delegation as well as client communications. Education

California State University Los Angeles - B.S. Computer Science GPA: 3.647


AT&T Closed Caption QA (Project Lead)

I led a team of five engineers in the development of analysis software for quality assurance operators at AT&T/DirecTV. The project involved the creation of automated error detection algorithms utilizing the Java and Kotlin programming languages as well as easy to use Swing based user inte and Hunspell dictionary libraries.

Machines of War (video game)

Designed and implemented a third person shooter for the windows platform utilizing the Unity game engine. Spooky Author Identification (Kaggle Competition)

Assisted in the design and implementation of LSTM recursive neural nets for the identification of various authors. The project utilized both character and word based LSTM neural nets as well as naive Bayes classifiers. Tabletop Health Tracker (Android app)

Designed and implemented a tool for Android that tracks the health values of multiple tabletop game characters. VIBES Media Player

Created a Java based media player and news browser. The projected utilized a JavaFX based user interface, MySQL databases, and JSON object based news aquisition.


For code samples, please check out the repositories on my GitHub: Designs By Benji GitHub LinkedIn GitHub Email

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