PEARCH is a Shopify app built using Django and Django REST Framework, designed to enhance Shopify store management by offering advanced features such as product sorting, data synchronization, and task automation. The app leverages Celery for asynchronous task handling, enabling efficient execution of background jobs like data updates and automation workflows. PEARCH provides a robust API architecture, ensuring seamless integration with Shopify stores and delivering a scalable, user-friendly solution tailored to optimize e-commerce operations. This documentation serves as a detailed guide for developers to understand the project’s architecture, core logic, and implementation.
<https://github.com/bogusdeck/sh-plugin.git>

ReviewReward:
ReviewReward uses advanced AI to detect and remove fake online reviews, ensuring authenticity. It features a responsive interface with Next.js and Tailwind CSS, secure user authentication via Google Authentication and Firebase, and stores reviews efficiently in Firebase. Reviews undergo rigorous authenticity checks with machine learning models and Cohere, enhancing trust in user feedback for informed decision-making.
<https://github.com/bogusdeck/ReviewReward.git>

Falsecaller
FalseCaller is a Django-based application designed to manage user data and detect spam phone numbers. It allows users to report spam numbers, search for people by name or phone number, and check the likelihood of a phone number being spam. The app is designed with user authentication and includes a management command to populate the database with fake data for testing.
<https://github.com/bogusdeck/falsecaller>

Task Reward System
This web application, built with Django, Django REST Framework, and Tailwind CSS, allows administrators to add tasks with points. Users earn points by downloading the app and uploading a screenshot. The project showcases efficient task management and user engagement.
<https://github.com/bogusdeck/Task-Reward-System>

Text Review Authenticity Checker
The goal of the Text Review Authenticity Checker project is to develop a system that distinguishes between computer-generated reviews (spam or fake) and genuine user-generated reviews. This model is designed to be beneficial for online platforms and e-commerce websites by filtering out fake reviews and maintaining the credibility of their review systems. The backend for this system was built using Flask, hosting it as an API for seamless integration with other applications.
<https://github.com/bogusdeck/TEXT--review-checker-API.git>

During my internship at Xtage as a Back-End Intern, I developed a Shopify plugin backend using Django REST Framework and FastAPI. I integrated AWS with Celery for load balancing and implemented cron jobs for automating scheduled tasks. I also created REST APIs to seamlessly connect with a React frontend and managed Shopify GraphQL queries for store operations. Additionally, I worked on optimizing a cloud-based PostgreSQL database to ensure efficient and scalable data storage.

I am a passionate and dedicated Python developer with experience in backend development and web applications. My expertise lies in frameworks like Flask, Django, and FastAPI, along with skills in REST API development, PostgreSQL, and Docker. I enjoy solving complex problems, optimizing performance, and delivering scalable solutions. Recently, I’ve worked on projects integrating Firebase with FastAPI and developing machine learning datasets using Selenium. In addition to my technical skills, I thrive in collaborative environments and continuously seek opportunities to learn and grow

During my internship, I want to learn how to write production-level code and format it following industry standards. I am eager to understand how to address and resolve issues effectively in different environments, such as staging, production, and local setups, using appropriate approaches tailored to each scenario.