Android Developer
Web Developer · MERN Stack
& Data Scientist
I build native Android apps, MERN stack web applications, and data intelligence systems, from mobile UI and full-stack APIs to ML pipelines.
I'm Muhammad Anas, a Bachelor of Science student in Computer Software Engineering at the National University of Computer and Emerging Sciences (FAST-NUCES), Faisalabad, expected to graduate in 2027. I build across Android development, full-stack MERN web applications, database systems, and data science, with a growing focus on prompt engineering and AI integration. From native mobile apps and Node.js APIs to SQL and MongoDB backends, I aim for software that is scalable, user-friendly, and grounded in real-world use.
At FAST-NUCES, I work as a Teaching Assistant under Sir Umer Zahoor, supporting students in database lab sessions, guiding them through SQL, and evaluating assignments. My project work includes NexTalk, an AI-powered real-time communication platform, ROAMIST for travel planning, the Urban Environmental Intelligence Engine for smart-city air-quality analytics, and NLP systems such as HSRIS and Arabic prose generation. I'm certified in AWS Foundations of Prompt Engineering, AWS Introduction to Generative AI, SQL and Relational Databases, and Claude Code 101. I care about clean code, collaborative engineering, and building tools that make a tangible difference.
National University of Computer and Emerging Sciences (FAST-NUCES)
Jan 2026 – PresentWorking under Sir Umer Zahoor at FAST-NUCES, Faisalabad. Assisting in database lab sessions, guiding students through SQL concepts and practice, and evaluating assignments to support their learning in relational database systems.
AI-powered real-time communication platform with instant messaging, intelligent AI chatbot assistance, secure authentication, and API-driven features in a modern responsive interface.
High-performance native Android app showcasing travel destinations across Pakistan. Forked from UsMaNBAjWaa/ROAMIST.
Data science project analyzing effects of NYC congestion pricing policy using transportation data and Python visualizations.
Desktop app built with Java 21 + JavaFX for managing and analyzing Arabic literary texts. Integrates NLP libraries ADAT & Alkhalil.
Scalable smart-city analytics system detecting environmental anomalies using hourly air-quality data from 100 global sensors.
End-to-end NLP pipeline for intelligent customer support ticket retrieval using hybrid semantic retrieval. Forked from UsMaNBAjWaa/HSRIS.
