Kariyer.net Tech Day: Artificial Intelligence Applications at Kariyer.net

Kariyer.net Tech Day #1
Discover Artificial Intelligence Products at Kariyer.net!

Artificial intelligence-supported technologies are rapidly transforming today's software world. This transformation is reshaping not only developer tools, but also software development processes, DevOps operations, data quality management and the depth of recommendation systems. Kariyer.net engineering team shares the experiences, applied solutions and next-generation system approaches gained in this transformation with a broad perspective.

Critical technological themes such as Large Language Models (LLM), developer experience with artificial intelligence, API test automation, recommendation systems and data quality will be discussed in detail within the topics to be covered within the scope of the event. Speakers, each expert in their own field, will share the approaches that lead the sector and real-life applications with the participants.

Large Language Models and Intelligent Agents: LLM-Based Solutions

The answer to questions such as what are large language models, how do LLM work, what are LLM application examples brings with them many new perspectives on artificial intelligence. LLM-based intelligent agents provide support to software developers in many areas, from data processing processes to user interactions. LLM-based intelligent systems, especially developed through frameworks such as LangChain and LangGraph, provide great convenience in web search, prototyping and internal tool creation processes. Kariyer.net Product Manager Vahid Farajijobehdar's experiences in this regard will shed light on innovative applications that emerge with the use of the LLM language model.

Developer Experience (DevEx) and DevOps Processes with Artificial Intelligence

Software development is not just about writing code. Developer experience (DevEx) is directly related to efficient workflows and effective team communication. Developer experience with artificial intelligence allows teams to develop faster, more effectively and more accurately. Abdülkadir Barlık and Kübra Çakır will talk about solutions integrated into software development processes with artificial intelligence and the effects of these solutions on DevOps processes.

In this context, topics such as how to optimize DevOps processes with artificial intelligence, how software teams can increase productivity, and what role technical leadership plays in this transformation will be discussed in detail.

Recommendation Systems Powered by User Behavior: Prod2Vec

Recommendation systems no longer only offer product recommendations; they also create personalized experiences with user behavior analysis. Kutay Acar and Nazlıcan Topçuoğulları from Kariyer.net R&D team will explain how user interactions are interpreted with machine learning through the Prod2Vec algorithm. Behavior data-based recommendation systems analyze users' journeys on the platform, providing more accurate matches and more effective recruitment processes. This approach also makes strong contributions to data processing and semantic analysis.

Data Quality: The Foundation of the Healthy Operation of Artificial Intelligence

If the data is of poor quality, artificial intelligence will only make mistakes faster. This statement summarizes one of the most critical topics of the event. In artificial intelligence, data quality, data consistency, and data diversity form the basis of all developed models. Erdem Saltan, who serves as Kariyer.net Head of Data, will provide participants with strategic perspectives with information on data quality management, data platforms and insight generation processes.

A New Era in API Test Automation: From Swagger to Smart Tests

API test processes and software test automation have become indispensable for the sustainability of software quality today. Emre Gözükızıl will present a journey from test scenario creation processes to how smart tests are structured via Swagger documentation. Focusing specifically on API test automation, this session will discuss modern test strategies adopted by teams to increase product quality.

Artificial Intelligence Ecosystem and Infrastructure: Sharing Experiences via KAI

The success of an artificial intelligence application is directly related not only to the model success, but also to the stability of the infrastructure on which this model operates. Vahit Ustaoğlu, who serves as DevOps Team Lead, will share the holistic building blocks of artificial intelligence, automation and infrastructure management via the KAI ecosystem with participants. In this session, infrastructure stability, security and scalability issues will be redefined from an AI perspective.

We invite you to Kariyer.net Tech Day #1 to see how AI has become a strategic lever in software development processes, to reinforce your experiences with the most up-to-date applications in the industry, and to meet with experts in the field in an in-depth technical discussion environment.

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