Full-Stack Systems Architect • Applied Machine Learning Specialist • Network Systems Engineer
I am a product-focused Software Engineer specializing in the design, development, and deployment of highly scalable web architectures, applied deep learning research, and enterprise-grade hierarchical network topologies. With a strong engineering foundation, I excel at turning complex system constraints into clean, high-performance, and beautifully modular software solutions.
Important
My Engineering Philosophy: Data models before user interfaces. Symmetrical topologies over arbitrary layouts. Clean, predictable, and mathematical correctness always triumphs over temporary patches.
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Enterprise Campus Portal: A highly-scalable community communication and collaborative academic resource-sharing web application. Codebase ➔ | Live Application ➔ TypeScript React Next.js Firebase
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Fintech Budget Dashboard: Sleek, premium personal finance tracker providing glassmorphic interactive analytics, budget widgets, and automated offline data synchronization. Codebase ➔ | Live Application ➔ JavaScript PWA Vite Service-Worker
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Data Science Submission: High-integrity predictive data modeling and survival analysis submitted to the global WiDS Datathon 2026. Python Jupyter Scikit-Learn XGBoost
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Hierarchical Network Topology: Mathematically centered GNS3 enterprise network model built with a custom positioning centering algorithm and 100% universal portability. GNS3 Python-Automation Hierarchical Routing
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I am always interested in discussing new opportunities in Full-Stack Software Architecture, Robust AI/ML System Implementations, or Large-scale Network Infrastructure Systems. Feel free to explore my repositories or get in touch!