Hi, I'm Adeel Iqbal

AI/ML Engineer | Data Scientist

About Me

Get to know me

I'm Adeel Iqbal, someone who loves teaching machines how to learn, adapt, and grow smarter every step of the way. Over time, I’ve worked across different areas of AI — training models, working with data, and creating systems that can see, learn, understand, and communicate. Each step has helped me grow my thinking and sharpen my problem-solving skills.

Now I’m exploring GenAI and Agentic AI, where machines don’t just learn but start to reason and act on their own. It’s exciting to see how all the pieces I’ve worked on before connect in new ways here.

For me, AI isn’t just about models or metrics. It’s about creating something meaningful that can make real impact and open new possibilities for people.

Adeel Iqbal

My Skills

What I'm good at

Languages & Libraries

Python
Pandas
NumPy
Scikit-Learn
SciPy

Machine Learning & AI

Machine Learning
Deep Learning
NLP
Computer Vision
TensorFlow
Keras
PyTorch
OpenCV

GenAI & Automation

LangChain
RAG Pipelines
n8n
Pinecone

Web Frameworks & APIs

Flask
FastAPI
Pydantic
Streamlit
Gradio

Data Visualization & BI

Matplotlib
Seaborn
Power BI

Databases & ORMs

PostgreSQL
SQLite
SQLAlchemy
Supabase

Tools & Platforms

Git & GitHub
Docker
AWS
Kaggle
Hugging Face
Vercel
Google Colab

Development Environments

Jupyter Notebook
VS Code
Cursor

My Projects

Featured Projects
Project 1

Drone Detection System

Real-time Drone Detection system using YOLOv11n with 94.3% mAP@50 accuracy. Highlights drones with bounding boxes in images and videos via FastAPI web interface.

Python FastAPI Ultralytics YOLOv11n PyTorch OpenCV FFmpeg Tailwind CSS Jinja2
Project 2

Alzheimer's Disease Detector

Deep Learning system for automated Alzheimer's Disease Detection from Brain MRI scans. Achieves 96.9% accuracy using fine-tuned ResNet50 on OASIS dataset.

Python TensorFlow Keras ResNet50 Scikit-Learn Numpy Matplotlib Gradio Hugging Face CSS
Project 3

Spotify Music Recommendation System

A Spotify-like Music Recommendation System using Content-Based + Popularity-Aware Filtering, built with Streamlit for an interactive experience.

Python Pandas NumPy Scikit-Learn Streamlit CSS Git
Project 4

Flood Probability Predictor

Artificial Neural Network (ANN) model for Flood Probability Prediction with preprocessing, feature importance analysis, and user input function for real-time risk assessment.

Python Pandas TensorFlow Keras Scikit-Learn Numpy Matplotlib Seaborn
Project 5

Rice Leaf Disease Classifier

AI-powered Rice Leaf Disease Classifier using CNN with 98.9% accuracy. Detects 4 major diseases instantly, helping farmers identify Rice Diseases early.

Python TensorFlow Keras Numpy Scikit-learn Gradio Matplotlib Pillow Hugging Face
Project 6

Pregnancy Risk Detector

A Machine Learning based Streamlit App that predicts High or Low Pregnancy Risk using a tuned Random Forest model, designed to support early detection and improve maternal health outcomes.

Python Pandas Seaborn Scikit-Learn Imbalanced-Learn XGBoost Ensemble Streamlit

My Interests

What I love doing
Coding
Building innovative solutions and exploring new technologies
Chess
Strategic thinking and problem-solving through the game of kings
Reading
Expanding knowledge through technical and business literature
Gym
Maintaining physical fitness and a healthy lifestyle
Traveling
Enthusiastic about discovering new cultures and broadening my horizons

My CV

Download my resume

Interested in learning more about my professional background, education, and experience? Download my CV to get a comprehensive overview of my qualifications and achievements.

Download CV

Contact Me

Get in touch

Let's connect

I'm always interested in hearing about new opportunities and exciting projects. Whether you have a question or just want to say hi, feel free to reach out!

Location

Karachi, Pakistan

Email

adeelmemon096@yahoo.com