About Me
- A highly motivated Full Stack Developer with extensive experience in .NET, C#, HTML, CSS, and TypeScript. I am a fast learner who constantly seeks out new technologies and best practices, eager to apply the latest innovations in software development. I thrive on solving complex problems, enjoy taking on new challenges, and have a strong passion for both front-end and back-end development. Known for my adaptability, curiosity, and dedication to continuous learning, I bring a proactive approach to every project.
- Karabük University – BS in Computer Engineering (%100 English) - (2017 – 2023.09.29)
- Relevant Coursework: Object-Oriented programming, Data Structures, Algorithms, Database Systems, Data Communications, Machine Learning, Operating Systems, Optimization Theory
- Clubs: Participated in the Tübitak Efficiency Challenge (Electromobile) under the team name SafRun, where I developed a telemetry system for our vehicle using C# and Firebase. (See Projects section for more details.)
Education
- Aras Kargo/Aras Digital – Full Stack Software Developer ( June 2023 - Present)
- I developed a web platform that facilitates the distribution processes of courier companies in Europe(Croatia, Slovenia, Slovakia etc.). In this project, I worked on both back-end (C#, .NET, MongoDB) and front-end (HTML, CSS, Angular, TypeScript) development. I utilized technologies such as Rancher, Docker, Kafka, Git, and SQL to enhance the system's scalability and efficiency.
- Skills: C#, HTML, .NET, CSS, Angular, MongoDB, TypeScript, LINQ, Git, Kafka, Docker, Rancher, SQL, Jenkins, JavaScript, Code Reviews
- Global AI Hub - Mentor ( July 2022 – November 2022)
- I helped people at the Bootcamp to answer all their questions in the fields of Python, Machine Learning, Data Science, Data Visualization, Artificial Intelligence.
- Skills: Python, Machine Learning, Data Science, Data Visualization, ArtificialIntelligence
- Andasis -Internship (June 2022–July 2022)
- An Anomaly detection model has been developed that captures attacks in Network traffic using Machine Learning.
- Skills: Python, Machine Learning, Data Science, Data Visualization
Professional Experience
- Programming Languages: C#, Python, JavaScript, TypeScript, Java
- Web Development: HTML, CSS, Angular, .NET
- Databases: MongoDB, SQL
- DevOps and Tools: Git, Docker, Rancher, Kafka, GitHub, Jenkins
- Machine Learning and Data Science: Machine Learning, Data Science, Data Visualization, AI (Artificial Intelligence)
- Frameworks and Libraries: LINQ
- Methodologies: Object-Oriented Programming, Feature Engineering, Anomaly Detection
- Soft skills: Fast learner, Problem-solving, Teamwork and collaboration, Strong communication skills, Adaptability, Time management, Critical thinking, Attention to detail, Creative, Productive, Imagination, Inclusive, Respectful, Computer Science, Software Engineering
My Skills
Certificates
Machine Learning
Organization: Miuul
Date: August 2022
Feature Engineering
Organization: Miuul
Date: July 2022
Python Programming for Data Science
Organization: Miuul
Date: July 2022