• Designed and implemented multiple API's for our customer-facing product, utilizing APIGateway, Lambda, and Smithy to create a self-service metric viewing product.

• Created two additional metric computations using Elastic MapReduce Jobs, Pyspark, S3 to DynamoDB replication, and an API to retrieve metrics to enhance customer usability.

• Developed an auditing system that uses historical Neptune Graph DB change events, in conjunction with an API to retrieve auditing of specific entity events, providing customers with insights on historical changes to their unique graph hierarchies

• Proposed and executed the migration of the CloudTrail Service Team's one-click infrastructure creator to a CloudFormation solution to improve resource management, scalability, and future scope.

• Expanded our product's reach from approximately 8000 customers to 300,000 potential customers, providing insights into Continuous Deployment/Continuous Integration health for their teams.

• Provided training and mentorship to another software engineer to develop their skills and gain experience with Amazon, helping them become an effective member of our team.

• Proposed the addition of two new attributes for Database schema that keeps track of Customer Interactions and Messaging Channels from the same customer.

• Proposed, documented, and implemented new version API's for Virtual Assistant Service using OpenAPI and Java.

• Implemented Twilio SMS Messsaging Validation and better customer error codes for specific failures.

• Created Testing Payload for the Virtual Assistant Service API

• Debugged and Analyzed a User Intention Chatbot for the City of Miami Website and found some errors and where the chatbot was not as optimal.

• Optimized the Chatbot Web-Scraping feature with an increase performance of about 50% faster and optimized the Pre-Processing of the Data for Machine Learning Model Selection and Model Improvements.

• Improved RASA Chatot YML files for better Feature Extraction and User Intentions