Bridging Material Science with Digital Systems
Textile Engineering student with proven expertise in hardware-software integration and systems architecture
Material Science → Digital Infrastructure
My textile engineering foundation provides deep understanding of material properties, manufacturing processes, and real-world production constraints. This knowledge directly informs how I architect software systems that solve actual manufacturing problems, rather than theoretical solutions.
Hardware + Software + Data = Smart Systems
Proven ability to design end-to-end systems spanning physical prototyping (sensors, microcontrollers), digital architecture (APIs, databases), and scalable infrastructure. This integrated systems-thinking positions me to research Digital Twins and Smart Manufacturing in textile contexts.
Research-Ready Problem Solving
I approach complex problems through systems decomposition, quantifiable metrics, and multi-domain integration. Building prototypes to validate concepts before scaling demonstrates a research mindset. Ready to contribute to advancing Smart Manufacturing and AI-assisted textile innovation.
Featured Work
End-to-end systems demonstrating hardware-software integration and scalable architecture
NFC Card Activation System
Physical-Digital Bridge: Real-time Hardware Integration at Scale
Architected an end-to-end NFC system managing 200+ users with real-time synchronization across hardware and digital layers. Built custom ESP32 NFC reader prototype with sensor integration, paired with Supabase-powered backend and responsive Next.js frontend for comprehensive user management and data visualization.
Key Insights
- •Proved feasibility of real-time hardware-software integration at production scale
- •Demonstrated scalability from prototype validation to 200+ active users
Event Management Ecosystem
Scalable Digital Infrastructure for Complex Organizational Operations
Designed and deployed a modular event management platform supporting 40+ student organizations with minimal resource constraints. Built on Next.js frontend with Supabase backend enabling real-time event data management, multi-organization support, and participant tracking across numerous concurrent operations.
Key Insights
- •Optimized architectural decisions under real-world budget constraints
- •Validated scalable system design supporting organizational growth from 0 to 40+ entities
Ready to Explore Collaboration?
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Academic CV & Resume
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Contact MeI am actively seeking research opportunities in Smart Manufacturing, Digital Twins, and AI integration in textile engineering. Whether you are an academic researcher, professor, or organization exploring these frontiers, I would be delighted to discuss potential collaborations and research positions.