Hi, I'm |

AI & Machine Learning Student

Passionate about building AI-driven applications, custom GPT models & smart IoT solutions, with a focus on turning complex ideas into impactful real-world projects.

About Me

Get to know the person behind the code

Profile Image of Muhammad Ahmed Rayyan

Who am I?

I’m Muhammad Ahmed Rayyan, an aspiring AI enthusiast with a strong self-learning attitude and a passion for creating innovative solutions. Currently pursuing a Bachelor’s in Artificial Intelligence at SZABIST University, focusing on exploring and building intelligent systems that address real-world problems. I am skilled in Python, machine learning and AI-driven technologies and I enjoy turning ambitious ideas into practical, impactful solutions while continuously learning how AI can shape everyday life.

AI Application Development

Creating intelligent applications using Python, machine learning techniques, and tools like Streamlit and Hugging Face.

Database Systems

Designing, managing, and optimizing databases using SQL and custom queries — powering dynamic, secure, and scalable software solutions.

My Skills

Technologies I work with daily

Python Java C/C++ SQL HTML/CSS JavaScript Assembly
OpenCV Numpy Pandas Matplotlin PyTorch Scikit-learn XGBoost TensorFlow NLTK Transformers Torchvision
Git/GitHub MySQL SQLITE Microsoft SQL Server Packet Tracer Wireshark Arduino IDE NetLogo Canva
Hugging Face Streamlit Gradio Flask Arduino Raspberry Pi IFTTT Blynk

Structured Code

Clean, maintainable bases

Data-Centric

Robust backend systems

Model Efficiency

Faster, meaningful results

Deployment Ready

End-to-end AI apps

My Projects

Some of my recent work

VitalCare Custom GPT

VitalCare Custom GPT

A medical-focused custom GPT designed to answer health-related questions with accuracy and care.

Python Streamlit Hugging-Face Torch

VitalCare Custom GPT

Provides AI-powered medical query assistance using GPT with tailored medical datasets.

EEG Brain Signal Classifier

EEG Brain Signal Classifier

A machine learning-based EEG signal classification system designed to analyze and classify brainwave patterns from EEG datasets.

Python Machine Learning EEG Scikit-learn

EEG Brain Signal Classifier

Intelligent EEG analysis platform that processes brainwave signals and applies machine learning models for accurate signal classification and pattern recognition.

MediQuery RAG - AI Medical Assistant

MediQuery RAG

An AI-powered medical question answering system using Retrieval-Augmented Generation (RAG) to provide context-aware healthcare information from medical documents.

Python LangChain Streamlit RAG

MediQuery RAG

Intelligent medical assistant leveraging Retrieval-Augmented Generation to retrieve relevant medical knowledge and generate accurate, context-aware responses for healthcare-related queries.

More Projects

nnUNet Low-Field MRI Segmentation

Medical image segmentation pipeline using nnUNetv2 for low-field MRI super-resolution and analysis.

Python nnUNet
Star

FixTrack

A real-time issue reporting and tracking platform with interactive maps, live status updates, and department-based management.

React Firebase
Star

RepoHealth AI

An AI-powered repository analysis tool that evaluates project health, code quality, and development activity using intelligent insights.

Python AI GitHub API
Star

AI Hotel Management System

An intelligent hotel management platform featuring automated booking, customer analytics, and real-time operational monitoring.

Python Streamlit MySQL
Star

My Achievements

Milestones in my career journey

Machine Learning Competition – 1st Place

2025

Secured first position in an inter-university Machine Learning competition by developing a predictive model optimized for minimal loss, demonstrating strong model tuning and problem-solving skills.

AI Image Generation – 3rd Prize

2025

Earned third place in the AI Image Generation Competition on World No Tobacco Day, hosted by Aga Khan University. Work was featured in a virtual public health art gallery.

CI/CD in Machine Learning – Certification

Completed in 2025

Successfully completed the “CI/CD in Machine Learning” course from DataCamp, gaining practical experience in automating ML workflows and model deployment.

Academic Competitions

2023 – 2025

Participated in multiple university-level competitions including database design and logic design challenges, demonstrating teamwork and problem-solving under pressure.

Get In Touch

Have a project in mind? Let's talk about it!

Contact Information

Location

Karachi, Pakistan

Availability

Open for Projects / Collaboration

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