About Me

I'm Abdul Rehman.

I'm an Artificial Intelligence undergraduate focused on building practical AI/ML solutions that turn data, machine learning, and AI technologies into useful applications. My work spans data analysis, predictive modeling, NLP, generative AI, and the development of interactive machine learning applications.

Abdul Rehman

My Approach

From problem to deployable solution.

I approach AI/ML projects as complete workflows, starting with a clear understanding of the problem and the data, then building and evaluating the right solution before turning it into a practical, usable application.

01

Problem

Understand the objective, requirements, constraints, and what the solution needs to achieve.

02

Data

Prepare, explore, clean, and analyze the data before selecting an appropriate modeling approach.

03

Model

Build and evaluate models using suitable algorithms, metrics, and iterative improvement.

04

Deployment

Turn the final solution into a usable application through APIs, interfaces, and deployment workflows.

Core Expertise

Technical capabilities for building AI/ML solutions.

I combine data analysis, machine learning, language technologies, and deployment skills to develop solutions across different stages of the AI/ML lifecycle.

01

Machine Learning

Apply supervised learning techniques to transform structured data into predictive models, with attention to preprocessing, evaluation, and model performance.

PythonNumPyPandasScikit-learn
02

Data & Analytics

Work with structured datasets through preprocessing, exploratory analysis, statistical inspection, and visualization to understand patterns and prepare data for modeling.

EDAMatplotlibSeabornData Visualization
03

AI & NLP

Work with text and knowledge-based systems using NLP, feature extraction, retrieval techniques, and generative AI to develop language-focused applications.

NLPTF-IDFRAGGenerative AI
04

Deployment

Connect trained models and AI workflows to usable applications through APIs, model serialization, interactive interfaces, and practical deployment workflows.

StreamlitAPIsJoblibGit & GitHubAWS

Technical Toolkit

Tools I use to build and ship AI/ML solutions.

A focused set of technologies I use across data preparation, machine learning, AI applications, and deployment.

Programming

Python · C++ · SQL

Data

NumPy · Pandas · Matplotlib · Seaborn

Machine Learning

Scikit-learn · Joblib

AI & GenAI

Gemini · ChromaDB

Applications

Streamlit · FastAPI

Development & Cloud

Git · GitHub · VS Code · AWS

Current Focus

Expanding from models to production AI systems.

Currently strengthening my skills in production machine learning, AI applications, APIs, cloud deployment, and agentic systems.

01Production ML
02AI Applications
03API Development
04Cloud Deployment
05Agentic AI
06MLOps Workflows

Let's Work Together

Have a project? Let's make it real.

Have a project in mind or looking for an AI/ML solution? Let's discuss the problem, explore the right approach, and see how I can help.

Get in touch