Roles that shaped how I build

Developed plugins within a Spring Boot microservice architecture, using RabbitMQ and Apache NiFi for message passing. Built a mock database and plugin to support a larger platform project, and contributed a plugin for a specific layered architecture use case. Deployed services to VMware Tanzu via Docker.

Demonstrated ability to ramp up quickly on an unfamiliar stack — Java and Spring Boot — and contribute meaningfully within a short timeline. Gained practical understanding of how architectural decisions shape a codebase, from modular design to microservices. Built intuition for how distributed systems communicate and how software moves from code to production.

Enhanced and maintained the ServiceNow platform by repairing forms, designing workflows, and managing the CMDB. Built a custom application to streamline call-center operations by integrating Observe.AI's API to automate agent performance analysis and feedback loops.

Gained certified proficiency in the ServiceNow platform through hands-on work and a completed Udemy Software Developer certificate. Deepened understanding of relational databases in low-code environments. Learned specifically how CMDB structures data and how that powers workflows and integrations at scale. Came away with a strong appreciation for what low-code platforms can do when used well.

Built and deployed a predictive model aimed at improving Google search trend anticipation by helping users discover trending content faster and more relevantly. Worked with real datasets, applying decision tree and KNN models with a focus on feature selection and hyperparameter tuning. Collaborated in cross-functional teams with direct mentorship from Google Data Scientists and ML Engineers.

Gained practical exposure to applying machine learning concepts to real-world problem spaces, moving beyond theory into model selection, tuning, and evaluation. Learned how data scientists at scale think about search and personalization problems, and got direct technical feedback from Google engineers which sharpened how I approach ML work.