AI/ML + Full-Stack Developer
I build machine-learning powered web and mobile products — from ML pipelines and dashboards to real-world apps using Python, React Native, Node.js, and Firebase.
I'm a Computer Scientist from NUST building AI-powered software products. I work where machine learning meets software engineering — shipping full-stack tools people actually rely on.
What I care about: reliable AI systems that are actually usable.
Featured Projects
Code-free machine learning — from raw data to trained model in minutes.
Building ML models requires significant coding effort, making it inaccessible to non-technical users and slow for rapid prototyping.
Solo developer — ML pipeline architecture, Streamlit UI, LLM integration, deployment.
Demo note: Upload a CSV or use the sample dataset to test the workflow.
Real-time healthcare scheduling across web and mobile.
Patients and clinics lacked a unified platform for appointment booking, medical records, and real-time scheduling.
Full-stack developer — backend API, Firebase integration, React Native client, deployment.
Demo note: Firebase free-tier limits require test login credentials.
iloveu@gmail.com
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Password: 123456
More Projects
Dimensionality reduction on Pakistan Stock Exchange data — 95% variance retained.
One backend, two clients — web and mobile from a single Node.js API.
Graph algorithms for real-world routing and dynamic pricing in C++.
Key Responsibilities
Key Achievements
National University of Sciences and Technology (NUST)
Key Highlights
Professional Certificate
Specialization Certificate
Professional Certificate