Designs and engineers a full stack (IaC) web application from the ground up using Java, Spring Boot, React, Postman, and MongoDB—enabling internal teams across Wells Fargo to manage infrastructure, deployments, and compliance workflows through a unified platform.

Develops scalable, event-driven backend services leveraging Kafka for system communication and OpenShift (OCP) for container orchestration, integrating SonarQube and other tools to enforce code quality and security.

Builds automation workflows using Ansible, writing in YAML and PowerShell to support dynamic infrastructure provisioning and deployment orchestration—executed via the core Java application.

Implements software-driven solutions for desired-state configuration, vulnerability detection, and patch management, ensuring system compliance and reducing operational overhead through intelligent automation.

Enhances platform observability and reliability by leveraging Splunk to monitor application health, performance, and deployments—accelerating release cycles and improving incident response

Developed automation scripts using Linux, Bash, PowerShell, Ansible, and YAML to install, update, and uninstall software/patches. This automation ensures all Wells Fargo employees have access to up-to-date, bug-free software without manual installation, streamlining operations and enhancing productivity.

Built a Python-based automation app to streamline server installation data filtering. This improves

efficiency by replacing manual Excel processing for tracking machines impacted by OS releases and

software patches.

Actively engaged with Women in Technology, participating in events with Girls Who Code, Grace Hopper,and internal initiatives to support and empower women technologists.

Designed AWS cloud architecture diagrams and data integration pipelines for a client project. Also, served as Product Owner, leading meetings, tracking progress via JIRA, and delivering status updates.

Joined the Generative AI Team, training employees on Azure OpenAI, GPT, and Copilot, enhancing internal AI expertise and adoption.

Performed teaching assistant tasks including mentoring, teaching, and helping students problem-solve

Provided feedback and assistance to 300+ students in office hours, helping them debug, and conceptualize projects, assignments, and programming issues

Member of Girls Who Code at the University of Wisconsin-Madison.

Participate in workshops with companies and students growing connections and interview skills

Compare projects and knowledge with other students. Compete in hackathons with other colleges.