About Myself
Who is Altar?
Hello! I'm Altar, a 24-year-old software engineer from Turkey with a focus on frontend development. I graduated from Yasar University in 2023 with a bachelor's degree in Software Engineering, where I completed my studies entirely in English. Since then, I've worked at BEFORESUNSET AI, where I developed and implemented AI-driven features using Next.js for a SaaS productivity tool. I enhanced the user experience by designing purchasing interfaces that increased conversions by 25%, optimizing app performance, and boosting user retention by 20%. I also played a key role in building internal features for a 15-member team and used PostHog to guide the development of 30+ new features based on user behavior. Prior to this, I interned at Brew Interactive, where I contributed to rebuilding Skoda Turkey's official website. I collaborated with senior developers to fix over 50 design bugs and create reusable components using Storybook. Alongside my professional experience, I've built personal projects such as Essay Wasp, an AI-powered essay evaluation tool, and a real-time chat app built with Firebase. These projects demonstrate my ability to take ideas from concept to completion while solving complex technical challenges. I am a strong team player who thrives in collaborative environments, enjoys helping colleagues, and believes in growing together as a team. I'm also a fluent English speaker with good communication skills, which helps me work seamlessly in international settings. Adaptable and eager to learn, I stay up-to-date with the latest technologies and industry trends. Currently, I’m open to new opportunities, including roles abroad, where I can contribute my technical skills, communication strengths, and positive team spirit. Feel free to reach out—I’d love to connect!
Skills & Favored Techs
My Main Techs
Interested & Wish to Learn
Previous Works & Projects
BeforeSunset AI
BeforeSunset AI is an AI-powered SaaS platform designed to enhance productivity and time management for teams and businesses. The platform provides tools for tracking time, managing tasks, and analyzing work patterns to optimize workflows. With intelligent AI-driven features, users can monitor their team's performance, prioritize tasks efficiently, and gain insights into productivity through detailed reports. The system is designed to support collaborative environments, offering personalized suggestions and seamless integration into team workflows. With over 30,000 users and robust investment backing, the platform allows businesses to streamline operations and boost overall efficiency.
Skoda Auto TR
Skoda Auto Turkey's official website is a comprehensive platform designed to enhance the user experience for potential car buyers and existing customers. Built using Next.js, the website focuses on performance and responsiveness, providing detailed information about Skoda’s vehicle lineup, promotions, and services. The site includes user-friendly interfaces for exploring vehicle specifications, booking test drives, and accessing customer service. As part of the development team, we optimized the site by addressing design bugs, creating reusable UI components, and ensuring seamless navigation to provide a smooth and efficient experience for users.
Essay Wasp
Essay Wasp is an AI-powered Software as a Service (SaaS) tool designed for essay evaluation, built using Next.js, React.js, and Supabase. Functioning akin to standardized English exams, it emulates 40-minute test sessions and offers comprehensive feedback on essays. Users benefit from topic generation capabilities and the ability to save entire essay sessions for review and improvement. Initially, users are provided with a limited credit allowance for trial purposes. Unlimited access is available through membership purchases, conveniently facilitated through our 'Buy Me Coffee' platform.
Chat App
This project is a chat application. Firebase is used for the backend to authenticate users, store necessary data in the database, and enable real-time messaging. After registering, users can log in and search for other users by typing their names to start one-on-one conversations. Additionally, users have the option to log in using OTP for added security. Users can not only send text messages but also share images with each other.
Library App
This library application is not very complicated; its main purpose is to make requests using GraphQL instead of the traditional REST API and to utilize API query language for retrieving data. Users can search for books by their title, author, or any other information from the search bar to access all relevant details.
Airline Company
This airline software program is designed for customers who want to purchase tickets. Customers log in to the application to authenticate themselves. No third-party application is used for authentication; instead, the goal is to authenticate users securely using JWT tokens generated internally. After logging in, users can view available flight tickets and select the number of seats they wish to book. Upon completion, the seat count for that flight is updated in MongoDB, and validation is performed to ensure that the number of seats selected by users is valid.
Design Patterns
This GitHub repository contains solutions for the most common design patterns. Various design patterns are employed to solve a given problem example.