Extended Alexa codebase to fit music streaming platform’s encrypted content requirements

Performed integration testing with Alexa media player team to test music playback on Alexa devices

Designed and developed frontend that parses Alexa device and cloud logs to diagnose issues with Alexa features

Created a live state machine editor for engineers to create their own workflows

Utilized AWS technologies such as S3, SQS, and DynamoDB to communicate with the frontend

Collaborated with three different Alexa teams to implement features on the webpage

Wrote a detailed design document including system architecture and use case flows and reviewed with senior engineers

Reviewed CX workflows with Amazon’s Retail CX experts and incorporated feedback

Implemented the backend service using AWS technologies such as CloudFormation, Lambda, DynamoDB, S3, SQS

Collaborated with international Amazon teams to integrate and test with their systems

Trained models with hundreds of contract documents to achieve 80% accuracy in identifying parameters

Utilized Deeplearning4j’s Paragraph Vectors to identify clauses (such as warranty, liability, etc.) within each contract

Integrated the pipeline into production for automated processing of business contract documents

Reduced time taken to find key terms from a contract by hand from over 5 minutes to only 2 seconds using the models

Utilized CoAP protocol to communicate back and forth and retrieve various data from LEDs (IoT)

Created Multicast Discovery system to discover all LEDs within a network and assign them to specific groups

Implemented Material Design, including TabLayout, Toolbar, CardView, Seekbar, NavigationView, etc. with full functionality