AI ENGINEER & DATA SCIENTIST

Turning data into insights and ideas into intelligent systems. Building AI solutions that solve real-world problems at scale.

1

Years of
Experience

+3

Projects
Completed

+4

Technical
Certifications

Featured Projects

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Python Flask Scikit-learn Random Forest XGBoost

Credit Card Fraud Detection System

Developed a fraud detection model that analyzes transaction patterns and predicts potentially fraudulent activities in real time. Applied machine learning techniques, feature analysis, and performance optimization to improve detection reliability.

Details

Python OpenCV TensorFlow Keras CNN

Facial Expression Detection

Designed and deployed a real-time emotion recognition application using Convolutional Neural Networks (CNNs), TensorFlow, and OpenCV. The system analyzes live webcam feeds to accurately classify facial expressions, demonstrating expertise in computer vision, deep learning, and human-centered AI applications.

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Core Tech Stack

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Python

SQL

PyTorch

Power BI

TensorFlow

Scikit-Learn

Pandas

Jupyter

Docker

FastAPI

Python

SQL

PyTorch

Power BI

TensorFlow

Scikit-Learn

Pandas

Jupyter

Docker

FastAPI

All Project

Python Flask Scikit-learn Random Forest XGBoost

Credit Card Fraud Detection System

Demo GitHub

Python OpenCV TensorFlow Keras

Real-Time Facial Expression Detection Model

GitHub

Power BI SQL Server DAX Excel

E-Commerce Business Intelligence Dashboard

Developed an interactive Power BI dashboard for e-commerce analytics by writing SQL queries to extract and transform structured sales data from relational databases. Delivered insights on sales trends, profit margins, customer segmentation, and payment behavior; utilized by business stakeholders for data-driven decision-making and sales forecasting.

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Work Experience

Freelance AI/ML Engineer

NCCO.sa, Saudi Arabia (Remote)

March 2026 – Present

Architecting an end-to-end internal web application featuring an LLM-based AI chatbot with PDF Q&A, web search, and document assistance; translating business requirements into production-ready ML solutions for a regulated organizational environment.
Designed and optimized RAG pipelines with prompt engineering strategies, reducing hallucination rate and improving response relevance for domain-specific knowledge base queries.
Collaborated with business stakeholders to define success metrics, scope project requirements, and communicate analytical findings through structured documentation and demos.

Software Developer Intern

NRB Bearings Limited (On-site)

Apr – Oct 2025

Developed a GUI-based Tool Crib Management System, writing SQL queries for data extraction and transformation against an SQL Server database to support inventory analytics.
Built a web-based Kaizen Entry Dashboard with data visualization capabilities, enabling business stakeholders to monitor operational KPIs and make data-driven decisions.
Proposed and documented automation improvements to digital workflows based on data analysis, presenting recommendations to technical and non-technical audiences.