- Leading the strategic direction of technology and operations, ensuring seamless integration between innovation and execution.- Spearheading the evolution of our flagship product, Site Service Cloud, into a next-generation, scalable, and customer-centric platform.- Overseeing end-to-end operations, including the transition from legacy systems to modern, cloud-based solutions tailored for field service management.- Driving cross-functional collaboration to implement cutting-edge technologies, such as React, Spring Boot, and Azure, to enhance performance and scalability.- Strengthening operational efficiencies by integrating third-party applications and fostering a unified technology ecosystem.- Advocating for a customer-first approach while leveraging innovation to meet market demands and ensure sustainable growth.

- Directing the development of a full-stack, next-generation version of our product, blending innovation with functionality to meet evolving market demands.- Overseeing the planning and execution of our legacy and new mobile app development, driving a solid vision and strategic approach.- Incorporating numerous third-party applications into our unified cloud environment to enhance overall service capabilities and efficiency.

- Leveraged Azure platform to enhance data management capabilities, ensuring seamless integration between Civic Elevator's SQL Server database and Microsoft Business Central.- Utilized Azure Functions to implement event-driven data synchronization processes, enabling real-time updates between systems and reducing manual intervention.- Implemented Azure Data Sync to establish bi-directional data synchronization between SQL Server DB and Business Central, ensuring data consistency and accuracy across both platforms.- Utilized Azure Logic Apps to design and automate complex workflows, facilitating data integration from various sources and streamlining the ETL process.- Employed Azure Data Factory to create efficient data pipelines, orchestrating the movement of data between on-premises SQL Server and cloud-based Business Central with ease.- Proactively addressed data challenges by utilizing Azure's advanced monitoring and analytics capabilities, ensuring data quality and identifying potential issues in real-time.- Collaborated with cross-functional teams to develop innovative solutions using Azure services, enhancing data reporting, and analysis capabilities with AWS Glue workflows and Quicksight dynamic dashboards.- Successfully onboarded and managed the integration of five different customers into the Civic Elevator system, demonstrating a deep understanding of their unique data requirements and providing tailored solutions using Azure services.- Continuously optimized data synchronization processes through the Azure platform, resulting in improved efficiency, reduced duplication, and enhanced overall data accuracy.- Maintained a strong focus on data security and compliance, implementing robust measures to safeguard sensitive information during data integration and synchronization processes using Azure's built-in security features.

- Successfully onboarded 5 partners onto a national software platform building interoperability between social service data providers. The platform, Service Net, reduces data management overhead, facilitates real-time capacity sharing, and allows providers to make and track referrals - Defined product requirements for Service Net to ensure customer success. Created tasks to advance the websites UI /UX as new user requirements from partners came- Managed and prioritized product board with tasks to meet deadlines within the scope - Efficiently worked with engineering team in an agile environment to drive constant innovation & managed velocity per sprint - Expertly and regularly communicated project status with the different partners & stage in the development cycle to the VP of my department & other stakeholders - Assisted in the early development of an XLSForm for early-stage functionality

- Developed algorithms that help identify various nonlinear phenomena and analyzed data from an X-Ray Free-Electron Laser experiment through Python - Learned MatLab, C++, Igor, Scikit-Learn, NumPy, Pandas, Scipy, and Matplotlib through coding during the length of my internship to condense and analyze code

Analyzed data from questionnaires and official reports to synthesize the data for donor reporting and grant applications