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Pouya Rezazadeh portrait

Aspiring Software Developer

I'm a Computer Science student with hands-on experience in web and database applications, eager to launch my software development career.

Work samples

Explore my portfolio featuring collaborative projects in e-commerce and sales management, where I applied my skills in software development and database architecture.

  • ShopSync E-Commerce System

    Kennesaw State University · May 2026

    ShopSync E-Commerce System

    Developed 3 core e-commerce workflows (product browsing, cart management, and checkout) for a 5-person team project by translating requirements into coordinated application features. Improved collaboration and deployment readiness across a 5-person team by managing code changes in Git/GitHub and org

    Git/GitHubAWS S3
  • Online Sales Management System

    Kennesaw State University · May 2024

    Online Sales Management System

    Delivered a database-driven sales management system for 1 client within a 2-month timeline by leading a 4-person team through requirements, implementation, and testing. Improved the consistency of client sales-data storage and retrieval by applying SQL/MySQL, relational modeling, and normalization t

    SQLMySQLRelational modeling

About me

I'm a Computer Science student with hands-on experience in web and database applications, eager to launch my software development career.

I am currently studying Computer Science at Kennesaw State University, where I’m gaining hands-on experience in building web and database applications as part of a team. I’ve developed my skills in Java, Python, SQL, C#, Git/GitHub, Linux, and AWS fundamentals, emphasizing object-oriented development, debugging, and requirements analysis. I’m excited to secure an entry-level software development role where I can utilize my programming and problem-solving skills while continuing to grow as a software developer Engineer.

Externships

Pfizer Advanced: AI-Powered Document Insights & Data Extraction Externship

In progress

Experience

Retail Sales Consultant

AT&T · Dec 2022 - Feb 2023

Education

Kennesaw State University

Bachelor of Science: Computer Science

Skills

JavaPythonSQLC#Git/GitHubLinuxMySQLAWS S3UnityObject-Oriented ProgrammingSoftware Testing & DebuggingRelational DatabasesData ModelingAgile/ScrumTechnical DocumentationTeam Collaboration
Back to work

ShopSync E-Commerce System

Developed 3 core e-commerce workflows (product browsing, cart management, and checkout) for a 5-person team project by translating requirements into coordinated application features. Improved collaboration and deployment readiness across a 5-person team by managing code changes in Git/GitHub and org

Git/GitHubAWS S3

Overview

Developed 3 core e-commerce workflows (product browsing, cart management, and checkout) for a 5-person team project by translating requirements into coordinated application features. Improved collaboration and deployment readiness across a 5-person team by managing code changes in Git/GitHub and org

ShopSync E-Commerce System
View all work
Back to work

Online Sales Management System

Delivered a database-driven sales management system for 1 client within a 2-month timeline by leading a 4-person team through requirements, implementation, and testing. Improved the consistency of client sales-data storage and retrieval by applying SQL/MySQL, relational modeling, and normalization t

SQLMySQLRelational modeling

Overview

Delivered a database-driven sales management system for 1 client within a 2-month timeline by leading a 4-person team through requirements, implementation, and testing. Improved the consistency of client sales-data storage and retrieval by applying SQL/MySQL, relational modeling, and normalization t

Online Sales Management System
View all work

✅ Verified by Extern

SQL & Database Architecture Externship with Breaking Games

Turn six messy CSVs into an analytics database and a Q4 dashboard that drives real business decisions. SQL + Claude.

Analytics Database DesignData AnalysisSQL FundamentalsData Storytelling

Overview

The project converted six raw data sources into a structured SQLite analytics database and a one-page Holiday Game Plan, and delivered a static HTML dashboard with KPI calculations. Work included data inventory, schema design, reconciliation of ad spend, bot filtering, and dashboard compilation. The work was awarded Top Performer by Breaking Games.

SQL & Database Architecture Externship with Breaking Games
Google Drive
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What I've accomplished

I produced a validated SQLite analytics database with a dim_product table and clean product IDs, joined queries that trace customer journeys, a filtered checkouts view to remove bot noise, campaign-level ROI checks reconciling $37,200.94 in Meta spend, and a static HTML Holiday dashboard.

Top performer

Project breakdown

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✅ Verified by Extern · ⏱️ In progress

Pfizer Advanced: AI-Powered Document Insights & Data Extraction Externship

Prototype AI-powered document intelligence with Pfizer—using OCR, LLMs, and RAG to automate real enterprise PDF workflows and build a standout portfolio project.

AI & MLPythonDocument IntelligencePresentation Skills

Overview

The externship prototyped AI-powered document intelligence for enterprise PDFs, combining OCR, large language models, and retrieval-augmented generation. The work reviewed LLM fundamentals and applied that understanding to designing an extraction-focused pipeline. Deliverables included research that informed the technical approach.

Pfizer Advanced: AI-Powered Document Insights & Data Extraction Externship

What I've accomplished

I produced a written summary explaining how LLMs tokenize text, learn token-level patterns from large datasets, predict next tokens during inference, and update internal parameters across training cycles.

Project breakdown

The submission summarized how LLMs tokenized text, learned token-level patterns from large datasets, predicted next tokens during inference, and updated internal parameters during training, producing more accurate, natural responses over repeated training cycles.

During the externship I cleaned and standardized text data with ftfy and unicodedata, expanded contractions, removed HTML, normalized prices, and saved the cleaned file. I also implemented image denoising, CLAHE contrast enhancement, and adaptive thresholding to improve OCR clarity.

The module had multi-page SDFs, I used PyMuPDF to extract words with bounding box coordinates, noted table/column layout challenges, and recommended locating words by bounding boxes as the next step for finding dates and vendor fields.

Google Docs
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