Selin Karaman

Developed an NLP-based conversational assistant leveraging Microsoft Azure services and Python. • System Architecture: Designed a scalable, modular architecture aligned with cloud best practices within the Azure ecosystem. • Development: Built the functional chatbot interface to process free-form natural language inputs. • API Integration: Integrated Azure Maps services to enable location-aware reasoning and geospatial data handling. •NLP Pipeline: Engineered custom algorithms for intent extraction and robust data parsing.

Worked as a Cloud Engineer Intern at Huawei R&D Center, gaining hands-on experience with Huawei Cloud services and its AI ecosystem. Focused on cloud infrastructure, containerization and machine learning workflows using ModelArts.

As the leader of a dynamic team of 20 students at Huawei Student Developers BEUN, I guided our efforts to promote and represent the Huawei Student Developers community. Through strategic initiatives and collaborations, I helped raise awareness of our community’s mission and activities. I was honored with the ‘Social Media Ambassador of the Year’ award in recognition of these efforts.

As an intern at QNB Finansbank, I received training on digital banking processes and data-driven management. Collaborating with the software, AI, and data management teams helped me develop a solid understanding of machine learning and data analytics, while contributing to the organization’s digital transformation.

During my internship at DenizBank, I observed software development, data analytics, and AI projects, gaining valuable insights into inter-departmental collaboration and process management.