I like shipping products, solving problems, and building things that actually get used. Most of my work lives at the intersection of AI, health, fintech, and consumer apps. I focus on creating systems that feel fast, reliable, and genuinely useful.
π ClutchIt (iOS)
A sports diary that lets fans rate games, write comments, generate AI recaps, follow friends, and build lists. Built in SwiftUI with a custom backend and data pipeline.
π₯ AI for Healthcare
I am currently involved in medical AI research, focusing on ethical, equitable, and real time patient centered applications. I explore how AI can improve diagnostics, support clinical workflows, and create tools that adapt to individual patient needs.
πΌ AI for VC and Finance
I am currently working on agentic systems that help people understand complex information, track insights, and make faster decisions. I like working on tools where AI reduces noise and increases clarity.
βοΈ Ethics and Responsible AI
I care about how to deploy AI in ways that are safe, fair, and grounded in real world needs. I think about transparency, reliability, and where automation should or should not be used.
Languages & Frameworks
Python β’ Java β’ JavaScript β’ TypeScript β’ Swift
Frontend
React β’ Next.js β’ SwiftUI
Backend & Cloud
FastAPI β’ Node.js β’ Firebase β’ Supabase β’ AWS
learning_goals = {
"AI": [
"Scaling AI systems",
"Reinforcement learning",
"Multimodal models",
"Large language models",
"MCP Servers"
],
"Product": [
"Better product design and UX",
"Modern mobile architectures"
],
"Ethics": [
"Ethical AI deployment",
"Responsible AI practices"
]
}π Education
- Computer Science at University of Maryland
- Minor in Innovation and Entrepreneurship
π Philosophy
- I like taking ideas from notes to real products
- I try to ship something new every month

