Hi, I'm Muhammed Nihal

React Native   Node.js

☞ Engineered a high-performance React Native application for iOS and Android that enables seamless, low-latency control of Smart TVs via the ROAP (Remote Office Action Protocol) over a local network.

☞ Implemented advanced features including custom throttled network commands to prevent packet loss, haptic feedback integration for tactile response, and automated session management for a "zero-config" user experience.

☞ Established a secure production environment by managing Android signing certificates via global Gradle properties and automated the distribution pipeline through a documented GitHub Releases workflow.

HTML   CSS   JavaScript

☞ Architected a zero-backend, privacy-first web application for rendering complex data visualizations, supporting multi-engine parsing of Chart.js objects and Mermaid.js markdown directly in the browser.

☞ Engineered an advanced HTML5 Canvas manipulation system featuring custom plugins for interactive, draggable data labels, alongside dual-format export capabilities for scalable SVGs and high-resolution PNGs.

☞ Designed a highly responsive user interface with persistent state management for Dark/Light themes, an interactive guided onboarding tour, and event-delegated secure modal systems for a seamless "zero-install" experience.

Python   Data Science

☞ Built an automated computer vision pipeline (CNN, SVM, Random Forest) to classify coffee ripeness from aerial drone imagery.

☞ Solved severe class imbalance in unstructured data via custom feature extraction and resampling, ensuring high model generalization.

React Native   Flask

☞ Built a mobile-first urban farming platform (React Native, Flask) facilitating real-time green space monitoring for UAE residents.

☞ Deployed AI-driven crop analytics using XGBoost to provide automated yield predictions and health recommendations. Streamlined operations for multi-stakeholder teams through secure role-based access and centralized sensor data visualization.