Starting full-time in 2025

• Created food ordering platform/delivery service catered towards saving university students money.• Wrote Golang backend to integrate square, toast, and stripe Point-of-Sale APIs for max-compatibility with vendors.• Deployed backend with Docker to Google Cloud Platform, integrating token exchange, authentication and Firebase.• Built iOS application for customers to order and explore, as well as React dashboard for vendors to manage sales.Skills Used: Golang, Containers, API integration, Token Handling, Full Stack Development

• Designed application transparent kernel probe to monitor data transfers, new connections, and function signatures for security in distributed systems, including a language model to detect anomalies in syscall trace. • Built Neural Turing Machine, to increase dependency length for DistilBERT to handle long-range syscall analyses.• Created dataset for benign vs. malware execution, and conducted exploratory data analysis ensuring model success.• Distilled GPT4V model for 96.7% reduction in latency communicating with autonomous agents like aerial drones.- Pioneered a novel approach for detecting anomalies among video streams combining local feature matching with transformer neural networks, and discriminant analysis.- Authored a paper detailing my method for detecting anomalies across video streams with visual transformers.- Managed and expanded a comprehensive unit test suite in Python.- Optimized drone flight with a C/C++ state machine, reducing reaction time by 50%.

- Used expertise in Python programming to teach 20 students in-person about data structures and coding in python.- Defined acceptance criteria for exam questions, homework, and projects for the entire class, (more than 320 students).- Held office hours/lab sessions and spoke enthusiastically with students who needed my help.

• Reduced time and resource usage of a cloud-native service by over 50% and 75%, respectively. • Designed an LSTM network with Attention to capture the behavior of test resources and select the optimal resource, as well as optimized behavior after selection with language-based classification of business-related messaging. • Implemented Splunk utility and automated Splunk queries in the backend to integrate the latest data with the service. • Upgraded PostgreSQL database model and added endpoints for new and existing features, targeting Swift frontend. • Preprocessed and cleaned dataset of 20 million events for training, then optimized the model for containerization.Skills Used: Machine Learning, Cloud Native Development, Swift, Python/FastAPI, Docker/Containerization

- Created new adaptive policy management features for the Meraki dashboard using React/ReduxJS and Ruby on Rails, allowing direct control over the modification of policy ACL’s and a more flexible user experience.- Navigated through an unfamiliar codebase quickly to modify backend support for new features.- Enhanced policy management API by addressing incomplete CRUD support, and rewriting JavaScript files to TypeScript for an improved codebase and consistent functionality.- Authored unit tests and modified snapshot files to facilitate successful integration with Jenkins builds.- Used Gerrit, Git, SVN, and Confluence for code release management and to locate documents related to my work.

- Developed satellite operating system software collaboratively with a 12-member agile scrum team.- Reorganized memory management on navigation computers to remove class redundancy bottleneck. - Streamlined flight telemetry data representations for easier understanding by the team and greater organization.- Utilized Jira, Bitbucket, and Confluence for effective team coordination.

Tested edge cases to shore up the user experience of a music playing app

Managed Database of patients for the greater Baltimore metropolitan area.Loaded tablets into pill containers, and stored patient orders into electronic database.Handled call backlogs and delivery issues when pharmacists were busy.Waited on Patients seeking Covid-19 vaccinations.