About Me

I'm Farnaz Nasehi, a full-stack software developer with over six years of experience architecting end-to-end, scalable solutions across hyperspectral imaging, financial analytics, and blockchain ecosystems.

As a full-stack expert, I specialize in bridging frontend innovation with backend robustness, delivering systems that seamlessly integrate intuitive user interfaces with complex data workflows. At Hyperspectral Intelligence Inc., I engineered a sophisticated Python-based application featuring a dynamic GUI (using tkinter and Matplotlib) and optimized backend pipelines for processing spectral libraries and drillcore data. My work demonstrates my ability to handle both responsive client-side interactivity and high-performance server-side data management across multiple platforms.

My tech arsenal includes Python (tkinter, Matplotlib, NumPy, Pandas) for scientific computing and backend logic, Next.js, React, and TensorFlow.js for modern web development, and Julia for financial data analysis. My expertise spans real-time data visualization, API integrations, cloud deployment, and statistical modeling, enabling me to transform intricate datasets—from hyperspectral imagery to Ethereum blockchain transactions—into actionable, user-friendly solutions that deliver tangible business value.

I thrive in complex technical environments where I can architect solutions that balance performance, scalability, and exceptional user experience. My approach combines technical precision with creative problem-solving, allowing me to develop innovative solutions for challenging data-intensive problems.