Top Projects
Explore my latest work in AI, web development, and innovative technology solutions
AutoPM (2nd Place @ HackUTD 2025)
AI-powered Product Management copilot built at HackUTD 2025 that automates end-to-end PM workflows through specialized LangGraph agents. Features 8 intelligent agents powered by Gemini 2.0 Flash for idea generation with data-backed research, user story creation with acceptance criteria, market research and competitor analysis, RICE prioritization, OKR alignment via PDF ingestion, automated stakeholder emails through Gmail API, interactive wireframe generation, and Jira ticket creation. Implementing type-safe state management with Zod validation and context-aware AI assistance that leverages project history for strategic decision-making. Bagged 2ND PLACE among 1200+ participants
AgentFlow
Full-stack AI agent deployment platform currently in development, featuring secure sandboxed execution with VM2 and child processes, real-time monitoring, and one-click deployments. Architected with Next.js, Prisma ORM, and GitHub OAuth, implementing strict timeouts, memory limits, and security scanning to safely run untrusted JavaScript and Python code. Built responsive dashboard with Gemini AI chat integration achieving 3-8s response times and modular component architecture for scalable agent management.
ACM Research at UTD
Researched and implemented VAE and VQGAN models to generate synthetic images of rare astronomical phenomena using the Multimodal Universe dataset. Leveraged TensorFlow, NumPy, and Matplotlib to achieve low reconstruction loss and high visual quality, and compared performance across generative models including DCGAN and StyleGAN to evaluate trade-offs in quality and efficiency.
Experience Journey
From neuroscience research to software engineering, exploring the intersection of AI and real-world applications
Software Engineering Intern
Developing an enterprise-grade Lending Bot with anti-hallucination validation for financial document processing
Neuroscience Research Student
Currently engaged in undergraduate research under Dr. Zirong Gu, applying advanced machine learning techniques to analyze neural and muscle activity data.
Software Engineering Intern
Prototyped a dashboard UI to visualize ANN-generated research insights from UTD using React, Next.js, and Chart.js.