- Created cloud infrastructure deployment and configuration samples for University partners using Terraform, Ansible, and Scalr- Saved ITS SysOps team hours of debugging time, thousands of dollars in erroneous cloud deployment costs, and managed potential security risks through sample library- Led a team of interns to develop a full-stack AI-integrated risk management dashboard capable of summarizing and ranking potential risks related to the University based on human supplied risk data corpus

- Designed and built customer-facing Content Delivery Network (CDN) scheduling endpoint using database/sql (GoLang) and Svelte (TypeScript) for Anoki content streaming platform- Implemented full-stack feedback feature in machine learning powered clip search component of overall system- Managed and deployed containerized elements of content streaming system using Docker- Monitored and debugged system networking components running on HAProxy

- Designed and built a user experience and AWS backend for a distributed food ordering system integrated with DoorDash to reduce reimbursement overhead for company expensed group orders - Used AWS Cognito to authenticate Amazon users and SecretsManager, S3 and SES to log in users to DoorDash securely- Allowed users to create an order using AWS Lambda, SQS, API Gateway, Puppeteer and Docker- Created a notification system for the user to receive a group order link using AWS SNS- Hosted the service on AWS Amplify

- Worked on a system to produce lane prediction for specified distance ahead to be traveled by a car- The project uses dashcam lane footage to train a model to output an accurate bird's eye view of the lane ahead to improve driving accuracy for autonomous vehicles- Created a data pipeline to transform lane footage, using semantic segmentation, to identify specific lanes in the footage - Used point-clouds to shift the viewing angle to a top-down perspective and uses the segmented view to train the model - Researched academic papers to find an optimal model to predict the upcoming lane view in front of a car

- Developed Kubernetes cluster to deploy framework of tools for optimized storage, analysis and presentation of data- Deployed and tested multiple applications including Grafana, InfluxDB, and Telegraf to withstand service interruptions - Connected TCP endpoints of deployed services within JSON manifest and configuration files- Allowed my team to efficiently analyze and present NetApp flagship product ONTAP performance metrics to stakeholders

- Created databases and database forms for CESU (Cooperative Ecosystem Studies Unit) branches.- Provided analysis and guidance for database structure and technology/software needs.