- Developed Apache NiFi components that reduced peak load on city grid by remotely controlling electric vehicle charging patterns, while emitting insights to measure power savings over time.- Developed a micro service in Spring Boot to manage customer data as well as an API token refresh system, greatly reducing the frequency of manually logging into a software.- Oversaw design and implementation of an EV charger optimization software in Apache NiFi, allowing for multiple EVs to charge… Show more - Developed Apache NiFi components that reduced peak load on city grid by remotely controlling electric vehicle charging patterns, while emitting insights to measure power savings over time.- Developed a micro service in Spring Boot to manage customer data as well as an API token refresh system, greatly reducing the frequency of manually logging into a software.- Oversaw design and implementation of an EV charger optimization software in Apache NiFi, allowing for multiple EVs to charge while avoiding peak loads and saving electricity costs. Show less

- Successfully resolved over 50 backend and UX bugs, significantly enhancing the product’s reliability and maintainability while ensuring a seamless user experience.- Utilized Terraform & Python to develop upgrade/install/uninstall scripts for multiple Kubernetes applications on AKS, saving 2 hours of manual deployment time.

- Created and deployed a Python script to production that would automatically find missing devices in NetBox and create them in Zabbix, resulting in a 2-day time save compared to transferring them manually.- Created a Python script to log and retrieve information from Zabbix, allowing for a 3 hour time save compared to manual data collection.

- Developed a React Native mobile picture-to-AutoCAD converter application using OCR, Azure CloudComputing servers, and Expo libraries, allowing customers to streamline the machined parts prototypingprocess by 1 week.- Integrated a custom image processing algorithm to the mobile application using OpenCV, which allowed for 40% better recognition of fabrication drawings compared to traditional shape detection algorithms.

- Created and maintained queries in large databases using SQL, and updated queries (Approx. 50) that had an average run-time decrease of 20%.