Implemented encrypted content specification section for music streaming platform on Alexa devices:

• 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

Implemented full-stack application for an Alexa log parser tool:

• 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

• Designed a global full-stack software system for Amazon.com’s retail customers that notifies them of changes in the properties of retail items that they have subscribed to

• 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

• Implemented a full natural language processing pipeline with OpenNLP’s Document Categorizer and Named Entity Recognition to extract dates, terms, length, and other parameters from business contracts documents

• 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

• Developed Android application that controls groups of smart LEDs within a WiFi network

• 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