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I am driven by curiosity for building web products and designing systems. As a 2026 SW Graduate, my approach to development is uniquely modern: leveraging large language models to manage syntax and streamline implementation. This allows me to focus on product architecture, bridging the gap between technical implementation and real-world use cases. I am deeply passionate about continuous learning and building impactful tools from the ground up.
Selected products built with high technical execution and design polish.
Blip - A fintech Progressive Web App (PWA) optimized for real-time expense tracking and social debt reconciliation. Built using a proprietary heuristic NLP parsing engine for transaction ingestion and an ACID-compliant ledger architecture to guarantee strict atomicity across concurrent split balances.
Mental-fatigue-estimation - A hardware-agnostic machine learning pipeline designed for non-invasive cognitive strain monitoring. Utilizes Python, scikit-learn, and XGBoost to perform high-frequency feature extraction on behavioral telemetry data, parsing keystroke dynamics and mouse tracking streams in real time.
Portfolio - An open-source, typography-driven digital showroom engineered to maximize frontend motion performance. Implements a synchronized lifecycle bridge between GSAP timelines and the Lenis smooth-scroll engine alongside reactive viewport interceptors to ensure flawless desktop-class layout rigidity.
Sparrow - A containerized microblogging platform engineered with a decoupled architecture. Combines a performant .NET backend core with a React frontend, utilizing a PostgreSQL relational database layer and packaged cleanly using Docker for scalable rendering and deployments across Vercel and Render infrastructure.
The languages, frameworks, and tools behind my application architectures.
Built with focus on engineering rigidity and product distribution. © 2026 Shashank Modi. All rights reserved.