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Android Developer Resume

Brooklyn, NY


  • Passionate Engineer with years of experience building feature rich solutions. My primary goal is to continue working with other passionate people on more interesting projects.


Programming Languages: Java, Python, C/C++/C#, Swift, SQL, JavaScript, MATLAB, Assembly, VHDL, etc..

Development: Embedded Systems, Full Stack Web, Android, iOS, Linux, ROS, IoT (RPi, Arduino,

Cloud/Operations: AWS, Azure, Firebase, Atlassian suite, Trello, Jenkins, Git, Vagrant, Ansible, Puppet, etc..

CAD: Autodesk suite, Mastercam, Blender, SolidWorks, Adobe CC, Sketch, GIMP, Inkscape, PDN


Android Developer

Confidential, Brooklyn, NY

  • Created original android, 2017 android, and 2016 iOS media playback applications
  • Created WebApp used for sharing content outside the app using Vue.js framework
  • Established Mobile and Web application architecture so components behave similarly across platforms
  • Created Infrastructure as code (IaC) using Ansible, Vagrant, Jenkins, and Fastlane to streamline operations
  • Dagger used for dependency injection and handling media component retention throughout their lifecycles
  • RxJava used to manage various asynchronous operations including uploading, authentication, and editing
  • OkHttp + Picasso + Retrofit to handle loading, caching, and sharing data in the applications
  • Databinding used in MVVM architecture to keep views synced with backend

Technical Analyst

Confidential, Chicago, IL

  • Underwent accelerated training on Agile, Automation and Release Management
  • Worked primarily at Discover Financial Services as QA Lead in Agile Team
  • Lead Team of both offshore and onsite members, bridging communication with client
  • Established best practices for writing stories in BDD and coordinated with Product to implement
  • Achieved continuous 100% Sprint completion by streamlining QA using aforementioned practices

Research Lead

Confidential, Brooklyn, NY

  • Implemented circuit for autonomous rover that helps the blind by announcing obstacles
  • Created android companion app (navi - top) which announces new faces and recognizes old ones
  • Created voice controlled Medical IoT Device that can track vitals in app and over cloud
  • Developed REST server on Intel Edison to handle navi-top facial recognition data
  • Retrofit used to interact with the REST API by sending raw face data and receiving processed information
  • Realtime Databinding used to map sensor data to views in real time with view model being updated by Firebase API
  • Android NDK used to process camera data in OpenCV in C as opposed to java for the low-level access
  • Published Research Paper to Scientific Journal and presented at conference

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