• Developed and optimized a live-updating app using WebSockets, Sharedb, MongoDB, and Redis for real-time collaboration.

• Converted codebase from JavaScript to TypeScript, improving maintainability and reducing bugs.

Implemented performance optimizations, including query optimization and indices in MongoDB, ensuring high scalability and efficiency.

• Utilized React (functional programming, hooks, Suspense, Error Boundary), Redux, and Material UI to build user interfaces and manage state effectively.

• Created and maintained comprehensive unit tests with Jest and Enzyme to ensure code reliability.

Spearheaded internal "Lunch and Learn" sessions that inspired new data analysis projects and team initiatives.

• Worked with third-party integrations such as Stripe, HubSpot, and Pendo, alongside internal tooling development.

• Enforced coding standards with ESLint, Prettier, and VSCode Live Pairing, fostering clean and consistent code.

• Managed error monitoring and performance tracking through New Relic and Airbrake.

Conducted A/B testing and utilized feature flags (LaunchDarkly) for controlled feature releases.

Integrated Google SSO for secure user authentication.

• Operated within a pod structure, collaborating closely with product managers (PMs), designers, and fellow engineers to deliver features.

• Regularly contributed to Storybook for component-driven development and documentation.

• Utilized Mongo Compass for database inspection and management.

• Managed AWS infrastructure, handling environment variables, S3, EC2 instances, and performing production and staging deployments.

• Build large, scalable data pipelines to intake and syndicate data from and to various vendors (Java, Scala, Azure, Docker, Kubernetes)

• Design and oversee development of app to assess flavor profile of first customer to recommend drinks (React, Redux, Python)

• Design and create single page apps and chatbots to intake food and beverage quality data (React, Redux)

• Create platform of various web apps that intake data for the Decision Center (Angular)

Ivy Fellowship Recipient (Fall 2015 – Spring 2016) & Barrett Honors Thesis (Fall 2016)

• Designing and implementing pipeline on Linux CentOS to analyze why cancer patients fail immunotherapy

• Coding PBS and wrapper scripts in perl, python, bash, and R

Helios Scholar Internship (Summer 2015)

• Installed, debugged, customized, and evaluated open source software, which detect copy number variations, written in Java, R, and python using wrapper scripts in R and bash scripting on CentOS cluster

• Accelerated software delivery through pair programming, the Agile methodology, XP principles, and TDD

• Designed and implemented single page app for managers to plan office seating/layout (React, Redux, React DnD)

• Built frontend for project status tracking tool to be used by leadership (React & Redux) with a node.js backend

• Implemented Metrics as a Service application using BOSH, Graphite, Grafana, and MariaDB with cross AZ replication for high availability and libraries in JS, Go, Ruby, and Java allowing developers to send metrics from their applications

• Implemented Firewalls as a Service application with Go backend and JS frontend (React, Redux, Immutable.js)

• Lead lab-wide workshops on data structures and algorithms

NSF Collaborative Research Experiences for Undergraduates (CREU) (Fall 2015 - Spring 2016)

• Design features to capture collaborative learning

• Create models to predict identify useful content in online programming discussion forums

Fulton Undergraduate Research Initiative (FURI) (Spring 2015)

• Mined and analyzed text from Stack Overflow using engineered features (such as sentiment polarity, cohesiveness, word count, constructiveness, etc) to identify useful content which is conducive to learning using Java

• Analyzed results and statistics to create regression model for constructive learning based on text characteristics using R