Creative Software Engineer with 4+ years of experience in back-end development and site reliability engineering. Worked on a highly available and scalable SAAS product, using over 20+ AWS web services. I base my success on creating user satisfaction through technology solutions that help companies achieve business goals. I also have a keen interest in implementing DevOps practices and implementing clean and reliable code practices.
Worked as Back-End and Site Reliability Engineer in a TDD, CI/CD, Clean Coding, and Code Reviewing environment. Completed an integrations project of Opsgenie with a couple of SAAS tools like (Jenkins, PRTG, Slack, Splunk etc.)
Worked on a Atlassian-Opsgenie Identity integration for a modern incident management platform that operates always-on services.
Collaborated on a monolith to microservice conversion, EC2 to EKS conversion. Assisted with the onboarding of junior developers in the company and oversaw product development and performed continuous planning, reviewing and refining the requirements.
Worked on an internal web-application for language packages for a world leading technology company specialized in designing, developing, and manufacturing both hardware and software fleet telematics and asset tracking systems.
Built an iOS widget app and connected the HomeKit with the app’s Cloud in order to connect it with Siri.
Performed bug fixing for the Health’s Ministry’s call center’s web-page.
The project is a Jenkins plugin for notifying users when a Jenkins build or a pipeline step fails, which is configurable through Jobs. The plugin provides Jenkins integration with OpsGenie. Opsgenie Jenkins Integration is used to forward Jenkins build alerts to Opsgenie. Opsgenie determines the right people to notify based on on-call schedules– notifies via email, text messages (SMS), phone calls, and iOS & Android push notifications, and escalates alerts until the alert is acknowledged or closed. When a build-related problem occurs in Jenkins, an alert is created in Opsgenie automatically through the integration. The plugin currently has 230 downloads and it is featured at Jenkin's GitHub. Technologies used in the project: Java, Maven, and Jenkins framework for the plugin.
The project is a Machine Learning App created for the Anadolu Sigorta Hackathon. Machine learning algorithms can do the analysis of targeted user behavior patterns and have searching requests to make suggestions as well as recommendations. It is extensively used in mobile e-commerce applications. The app was created with Django that consists of web interaction, API and user authentication flow. Developed the back-end and front-end of the app in one day with a team of 4 developers. Technologies used in the project: Python, Django.
