• Developed React Native Mobile application for iOS and Android• Developed React web portal to integrate with React Native Mobile application and Firebase backend • Published app to Apple App Store and Google Play Store• Implemented using Google Firebase Backend as a Service• Implemented real-time NoSQL database • Implemented push notification

• Designed and developed largest rare disease social hub - Rareshare • Developed Ruby on Rails application to serve rare disease communities • Developed React Web application for rare disease communities, using serverless stack including AppSync, DynamoDB, Cognito and Lambda functions• Deployed using AWS Elastic Beanstalk

• Review patent applications in the area of image processing and video display systems• Review patent applications for compliance with all laws and regulations• Make recommendations to applicants and inventors regarding patentable of applicationsUse specialized knowledge and technical research to evaluate claimed inventions

• Developed Selenium automated tests for Jira based plugin using Java and Python• Worked with Player Platform team developing products using React, Java, and AWS

• Developed Selenium web automation tests written in Python to perform automated quality assurance(QA) testing

• Developed web-based testing system using Ruby of Rails• Created automated testing scripts for windows application using Python and Selenium torun on virtual machines hosted on Xen Server, virtual machines controlled from Ruby onRails frontend• Integrated automated Python testing scripts with Ruby on Rails web frontend• Developed image recognition algorithms in Ruby on Rails front end using ImageMagickto recognize test results produced by automated python scripts • Integration with Sidekiq, Foreman, Faye, and Google Drive API

Developed web-based interactive and immersive 3D flight experience from bird eye view using Python\Django framework• Used Google Earth API to develop fully immersive and accurate flight experience, allowing user to fly various bird habitats throughout United States• Designed interactive content including pictures, videos and surveys to promote user advocacy from Audubon community throughout flight experience• Developed Content Management System (CMS) to allow Audubon users to create and update Google Earth tours and interactive content• Integration with social media authentication systems, including Facebook, Twitter and Google using OAuth2

Researching and developing computer vision and AI technologies for advanced autonomy of unmanned autonomous systems (UAS) in the national air space (NAS):• Developed contextual speech recognition algorithms for Air Traffic Control(ATC) recognition and machine learning\support vector machine algorithms for automatic identification of speech model based on flight state• Developing intelligent mission task planning through application of AI planning and Hierarchical Task Network (HTN) technologies.• Implemented Particle filter based computer vision algorithms in combination with Kalman filter that integrated sensor inputs from inertial measurement unit, compass and computer vision based particle filter• Developed computer vision algorithms with OpenCV, C++, and MatlabKey projects includedo Automated Geopositional Feature-on-Video Overlay Service (AFOS) [Navy]> Real-time image and video processing with multi-INT track fusion to correct metadata> End-to-end research, development, integration, and live testing for SPAWAR, 2013o UAS Ground Operations Management System (UGOMS) [Air Force]> End-to-end research, development, prototyping, and live test / demo to AFRL, 2009> Advanced application of image processing in machine perception of live environmentso Rapid Automated Mission Planning System (RAMPS), now coined Aviate™ [NASA]> Live demonstrations to NAVAIR, PMA-263, 2013o Unmanned Aircraft Autonomous Control System (UAACS) [Air Force]> Air Traffic Control voice-commanded, autonomous in-flight re-routing/tasking for UAS