I am an IT, Cybersecurity, and QA professional specializing in Identity and Access Management (IAM), cloud security, and data-driven AI solutions. I hold a Master's in Cybersecurity from Northeastern University and am a "constant tinkerer" who combines a security engineering mindset with hands-on experience in QA test automation and AI/ML development. My practical experience is built on delivering tangible results.

As a cybersecurity intern at Togetherwork, I delivered significant risk reduction by auditing Azure AD configurations, using PowerShell scripts and Excel to filter employee data for a Saviynt (IAM) onboarding, and identifying non-compliant devices belonging to C-suite executives. At OmegaFi, I further reduced the attack surface by auditing Azure and deleting 400+ unused email accounts, while also building end-to-end QA test automation suites using Webdriver I/O and Cucumber (BDD).

My IT background also includes hands-on AI development; as a research intern, I managed the full project lifecycle to develop, train, and deploy a Python object-detection model with TensorFlow. I am passionate about building secure, high-quality software and recently engineered a full-stack Passkey (FIDO2) authentication system, leveraging agentic AI tools like Warp to accelerate development and debug complex, protocol-level errors.

My goal is to find a role where I can leverage this unique combination of skills, using my QA experience to build better security tests, my data and AI skills to find anomalies, and my cybersecurity background to ensure a security-first approach at every stage of the development lifecycle