Lectia App Development:

Developed, published, and regularly updated Lectia, a language proficiency progressive web app (PWA) on the Apple App Store and Google Play Store, resulting in a 20% increase in user engagement within the first quarter.

Maintained the entire technology stack, including RESTful API development, efficient data ingestion via a custom Microsoft Word add-in, and responsive frontend implementation.

Implemented and managed CI/CD pipelines for seamless deployments to production and testing servers, demonstrating deep knowledge of Kubernetes systems and rolling out containerized deployments.

Team Leadership & Collaboration:

Led Agile sprint planning meetings by gathering requirements, estimating tickets, and assigning tasks, resulting in consistent on-time project delivery.

Served as the primary debugger for the entire tech stack (API, frontend, data ingestion), reducing average bug resolution time by 40% and increasing system stability.

Mentored junior engineers (contractors), fostering a culture of collaboration and continuous improvement.

Proactively identified and resolved complex issues across API, Front-End, and Word add-in components, becoming the recognized subject matter expert and go-to resource.

Led the development of a virtual reality language learning prototype game targeted for the Oculus Go headset.

Developed and automated SAS macros to extract and aggregate large volumes of data from the data warehouse, reducing data processing time by 50%. Uploaded summarized data onto a SQL server for comprehensive reporting and analysis. Created custom HTML/JS interfaces with AJAX communication to the server, and utilized Microstrategy VA and Excel to deliver actionable reports for Geico's underwriting and research department. Delivered custom data pull requests within stringent deadlines and developed ad-hoc tools for fast data analysis, improving data accessibility and decision-making efficiency. Developed and maintained 'automated detective controls,' which searched the database for predefined triggers and notified relevant stakeholders, enhancing data integrity and proactive issue resolution.

Developed Python scripts to statistically analyze incoming client data files, reducing analysis time by 1000% and significantly improving data processing speed.

Ensured data quality between the new query-based UI and the internal database, testing JSON data from the API and validating attributes against values within the Oracle database.