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Hello, I'm

Nabih Alkhateeb

Computer Science Engineer

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About Me

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Experience

3+ years
Programming/Development & Operations Management

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Education

Senior Undergrad Computer Science Student at UTA

I am a Computer Science graduate from the University of Texas at Arlington, having completed my degree in December 2025. I have a strong interest in data science, artificial intelligence, and machine learning, with a focus on building intelligent systems that analyze data, solve complex problems, and create real world impact. I enjoy working on projects that challenge me to think critically and continue learning. Outside of coding, I enjoy building LEGO puzzles, which gives me a hands on way to think creatively, stay sharp, and unwind while still engaging in problem solving.

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Experience

Programming Languages

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Java

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Python

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SQL

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C/C++

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HTML

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PHP

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Kotlin

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JavaScript

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Kotlin

Development Environments

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Linux

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Unix

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Ubuntu

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Android Studio

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VS Code

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Node.JS

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Eclipse

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phpMyAdmin

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Git

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Browse My Recent

Projects

BestPriceStore

BestPriceStore: Database & Website

Designed a full-stack store website with dynamic PHP pages and a robust SQL backend. Built ER diagrams, query support, and CRUD operations for managing products, vendors, and customers.
Transaction Manager

Transaction Manager – Concurrency Control Simulation

Created a transaction management system in C simulating concurrency control via strict two-phase locking. Handled read/write/abort/commit using semaphores and lock management.
B+ Tree

B+ Tree Implementation: Index File Organization for DBMS MINIBASE

Developed a B+ Tree index structure in Java supporting key operations like search, insert, and delete. Used for simulating efficient DBMS indexing and improving query access.
QuickFin

QuickFin: Financial Helper App

Led the development of an Android financial app in Kotlin. Integrated modules like tip calculation, investment planning, currency conversion, and savings advisor in a seamless UI.
IMDb Data Analysis

IMDb Data Analysis using Hadoop and SQL

Developed Hadoop MapReduce jobs to extract IMDb genre trends across decades. Queried large-scale Oracle DB (~50M rows) for top-rated films. Visualized results using Python's pandas and matplotlib.
CNN Augmentation Analysis

CNN Augmentation Analysis – CIFAR-10 Study

Built and trained CNNs on CIFAR-10 using PyTorch. Evaluated baseline and augmented models (+1.7% accuracy gain) using confusion matrices and per-class performance plots.
AR Wetlands: Water Pollution Simulator

AR Wetlands: Water Pollution Simulator

Developed an AR educational system (Unity, AR Foundation/ARCore) that visualizes water pollution on a physical tabletop. Includes marker-based scene activation, voice narration, and a downloadable Android app for outreach and testing.
SPLC Compiler

SPLC Compiler: Lex → Parse → Code

Implemented SPLC (Simple Programming Language Compiler) in C++ using flex/bison and LLVM for code generation. Features lexical analysis, parsing, semantic type-checking, interpreter/evaluation and code generation across six staged assignments.
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