One curated showcase: selected projects, honors and press recognition, and the AI thinking behind the work.
AI-powered surplus food distribution system built on IBM watsonx to combat food insecurity. Designed the AI chatbot for demand forecasting, route optimization, and dynamic food allocation. Finalist (Top 4 of 70 teams, 300+ participants).
Conversational voice assistant designed to make AI accessible across languages, accents, and cultural contexts — built around a multilingual-first interaction model and natural speech.
An empathy-first mental health chatbot built for international and underserved student populations. Focused on safe conversation design, cultural context, and pathways to professional support.
Public health data project analyzing the prevalence and distribution of Addison's disease. Performed data cleaning, statistical exploration, and visualization to identify demographic and regional trends.
Comprehensive data analysis using large-scale cardiovascular and public health datasets to explore trends in heart disease, hypertension, BMI, and stroke risk.
Led a 5-person Microsoft Student Ambassador team to tackle accessibility barriers at UT Dallas using Copilot, Teams, 365 Suite, Sway, and Outlook.
An AI twin trained on my own writing, work history, and thinking — able to answer questions, brief recruiters, and represent my perspective conversationally.
A wellbeing companion that adapts tone, pacing, and suggestions to a user's emotional state — designed around consent, privacy, and gentle nudges rather than engagement loops.
A framework and prototype exploring symbiotic human–AI workflows: where the human sets intent and judgment, and the system handles retrieval, synthesis, and execution.
An AI concept that forecasts surplus and waste across food and resource supply chains, then routes it to demand before it spoils — extending the FoodLink thesis to broader systems.
A guardrail layer built on Mistral models to detect prompt injection, unsafe requests, and data-exfiltration attempts before they reach a downstream application.
A deliberately warm, plain-language AI assistant for people who find technology intimidating — older adults, newcomers, and first-time users of AI tools.
A fast-paced AR slicing game built to explore spatial interaction, motion feedback, and how playful mechanics can teach new interface paradigms.
Featured commentary on AI, learning, and the future of universities.
Coverage of campus AI initiatives and student impact.
Quoted in regional coverage on responsible AI adoption.
Student newspaper feature on AI, ambassadorship, and projects.
Interview / feature contribution.
Research and innovation initiative.
OIT awareness initiative.
Featured interview.
Campaign feature.
Surplus-food distribution concept and IBM GenAI case competition finalist project.
Exploring retrieval-grounded assistants for institutional information and support.
Designing AI experiences around clarity, accessibility, consent, and responsible use.
"AI should not just automate tasks. It should expand access, reduce friction, and help people make better decisions."