Course grader for COMPSCI 684: Trustworthy & Responsible AI, an advanced graduate course on the privacy, security, societal and environmental risks of modern AI systems.
Evaluates coursework on adversarial attacks, AI security and privacy, responsible model development, generative AI risks, and current trustworthy-AI research.
Works with material examining attack vectors, the guarantees and limits of current AI safety methods, and approaches to building more reliable systems.
Selected for the competitive Summer 2026 cohort of the CICS Open-Source Apprenticeship Program, which pairs students with experienced open-source contributors and industry mentors.
Contributed to established open-source projects in a structured, mentor-guided apprenticeship.
Emphasis on source control, contribution workflows, technical communication, and engagement with maintainer communities.
Designed and built technology to modernise document-heavy legal workflows, including a secure litigation-document platform with structured storage, metadata organization, and search.
Implemented role-based access controls, audit logging, and secure document processing to handle sensitive legal information.
Worked directly with the stakeholder to map existing workflows and refine features iteratively through testing and feedback.
Built and supported backend solutions in Python, Django REST Framework, Firebase and JavaScript across multiple software projects.
Translated application requirements into reliable backend functionality, working in a collaborative environment on clean, maintainable, documented code.
Gained production-oriented experience with backend architecture, API-driven development, and database-backed applications, in an environment applying ML and AI to fleet operations.
Organized peer workshops and training on Azure cloud, AI fundamentals, and portfolio building, helping dozens of students bridge classroom learning and applied skills.
Created reusable starter projects and hands-on resources so students could keep exploring Microsoft technologies independently.
Built a community of aspiring developers on campus by mentoring peers and amplifying their work.