Beril Dindar is a Computer Engineer specializing in end-to-end solutions within the Microsoft ecosystem. Her expertise spans Power Platform, Azure AI Foundry, Generative AI solutions, AI security and governance, Microsoft Fabric and advanced data architectures, combining deep technical knowledge with a strong focus on enterprise-grade compliance.

She transforms organizational workflows through AI-powered applications, autonomous agent architectures, RAG-based solutions and HR and operational automations, all supported by secure cloud architectures. Her solutions built using Power Apps, Power Automate, Power BI and Copilot Studio enhance efficiency while ensuring full data security and regulatory alignment.

At D Tech Cloud, Beril contributes to the AI & Data Solutions team by designing intelligent, scalable systems that meet both business and compliance requirements. She is recognized for her ability to bridge emerging AI capabilities with practical enterprise needs, delivering solutions that drive meaningful operational value.

Seydi Çıplak is a cloud and AI-focused engineer with a strong academic foundation spanning M.Sc. degrees in Electrical Engineering from Istanbul Technical University and Computer Engineering from Yıldız Technical University, as well as a B.Sc. from Bahçeşehir University. He specializes in Azure-based cloud solutions, generative AI applications, intelligent automation and data-driven enterprise systems.

He develops scalable and secure solutions using Azure AI services, Azure Machine Learning, Azure OpenAI, RAG pipelines, vector search, APIs and MLOps practices. His project portfolio includes enterprise virtual assistants, Teams-integrated AI chatbots, document retrieval and summarization systems, and AI-powered workflow automation tools that deliver measurable efficiency gains.

At D Tech Cloud, Seydi contributes to the AI & Data Solutions team by building production-ready intelligent systems that solve real business challenges. He is recognized for his ability to combine analytical rigor with hands-on cloud implementation experience, translating complex AI capabilities into practical, enterprise-scale deployments.