Hi, I'm Muhammed Nihal
Node.js
Python
DaVinci Resolve
React
Java
Photoshop
SQL
Figma
Git
C++
JavaScript
Node.js
Python
DaVinci Resolve
React
Java
Photoshop
SQL
Figma
Git
C++
JavaScript
Jack of all trades master of none, though oftentimes better than master of one.
About Me
I'm a senior Computer Science undergraduate with hands-on experience in software development, AI engineering and programming tutoring. Proficient in Python, C++, Java, and front-end tech stack, with a strong foundation in data structures and algorithms. Passionate about building efficient solutions!
Projects
NetCast Remote App
LG NetCast SmartTV remote app...read more
Codes
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.
☞ 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.
Coffee Plantation Image Classification Model
Computer vision model to classify coffee ripeness from aerial drone imagery...read more
Codes
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.
☞ 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.
Khadar - Smart Urban Farming System
Smart urban farming and green space management application designed for UAE residents...read more
Codes
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.
☞ 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.
Experience
Programming Tutor at University of Sharjah
Oct 2024 – July 2025
Delivered personalized C++ programming lessons to students...read more
☞ Delivered personalized C++ programming lessons to students, focusing on foundational concepts and practical applications.
☞ Simplified complex topics such as algorithms, data structures, and object-oriented programming for better understanding. Designed tailored learning plans to address individual strengths and areas for improvement.
☞ Simplified complex topics such as algorithms, data structures, and object-oriented programming for better understanding. Designed tailored learning plans to address individual strengths and areas for improvement.