Leading development of critical threat intelligence systems for Amazon Cyber Threat Intelligence (ACTI):• Spearheaded design and implementation of the migration 7+ years of intelligence data to from a relational to graph database. Led team of 5 engineers to deliver on schedule, doubling analyst adoption in first month.• Optimized Lambda function performance, reducing runtime from 15+ minutes to 65 seconds through innovative garbage collection approach.• Driving architectural decisions and mentoring team members on best practices for software design, API development, and AWS services utilization.• Leading design and implementation of an advanced threat intelligence system for monitoring over 50,000 indicators of compromise across more than 10 disparate Amazon datasets. Directing a team of 8 engineers to build a platform that automates data enrichment and provides 500,000+ notifications annually.* Received the Leadership Principle Reward for Deliver Results

The world’s first and largest digital marketplace for crypto collectibles and non-fungible tokens (NFTs). Buy, sell, and discover exclusive digital items.* Launched API V2 Endpoints which achieved over 10,000 transactions per seconds* Implemented Self-Service Developer Onboarding resulting in 15,000 API Keys to be generated in the first 6 months* Released OpenSea's Javascript SDK v6 which reduced the package size by a factor of 10* Won the annual hackathon project by building a single bash script to deploy all the AWS infrastructure and code to automatically create the top bid for items

Amazon Glow, an interactive entertainment and video-calling system designed for children to learn, play, and bond with remote family.* Added SDK Methods to send metrics to Amazon Pinpoint, collected by Firehose, and sent to Elasticsearch* Founded a team owning the ingestion and CDN hosting of thousands of games and activities* Improvements to activity ingestion led to a reduction in 90% of service tickets within 3 months

Alexa Connect Kit enables device makers to connect devices to Alexa without worrying about managing cloud services, writing an Alexa Skill, or developing complex networking and security firmware.* Wrote Cloudformation IaC to deploy the AWS services to dozens AWS Accounts on demand for every manufacturer sign up resulting in data isoloation* Stream millions of IoT messages daily using Kinesis Data Stream and Lambda Transformations* Create data lake of device metrics and logs using S3, AWS Glue and AWS Athena to create daily reports for device manufacturers* Led GDRP compliance project to allow device makers to comply with data access, deletion, and do not track requests resulting in a decrease of compliance time from 14 days to less than 24 hours.

Developed and self-published iOS and Android applications which enables contractors and home owners to build a stronger relationship

Working as a Software Engineer in the Watson Health Department.The first project my team shipped was JAR used by multiple internal teams. The JAR was built using Java, Groovy, and Gradle. It was built using Agile practices and test driven development (TDD). It therefore was shipped with 100% test coverage with 0 security warnings from the internal application scan. The JAR was promoted thorugh a CD pipeline with Jenkins and Artifactory.The next project shipped by team was a cognitive chatbot backend service consumed by an external facing product. The chatbot was built using a combination of Node.js and cloud services. It was deployed as a multiple Docker containers deployed to a Kubernetes cluster on a Cloud provider. I implemented a unit testing framework which included Mocha, Chai, Sinon, Rewire, ESLint, and Instanbul. The code coverage was maintaned to be greater than 75%. The Docker images used a CI promotion pipeline implemented with Jenkins and private Docker registries on Artifactory.

Worked in a team to create an internal web application using SQL, Java, WebSphere, RAD, Java, Javascript, and DOJO. Started from nothing to build the entire stack and have the application into testing protocol before the end of my internship.