Görkem Köseoğlu, with over 25 years of experience in AI and technology management, has led initiatives in diverse domains at major firms like ING Group and McKinsey and now leads Prometa.ai, leveraging his expertise from a background in computer engineering and business administration.

Çağlar Subaşı has over 14 years of experience in statistical and machine learning, with roles at Türkiye İş Bankası and BNP Paribas. Proficient in supervised and unsupervised learning, Python, and big data platforms like Spark and Hadoop. He holds a Statistics degree from METU and a Master’s in Big Data and Business Analytics from ITU.

Refik Ergün is a Data Science Lead with 6.5 years of experience, specializing in machine learning and optimization. He has led teams at Trendyol, N11, and Koç Digital, delivering impactful solutions in recommendation systems and anomaly detection. A Koç University graduate, he excels in enhancing business metrics and operational efficiency.

Şirin Uzuner, with nearly 2 years in Account Management at Mobven, excels in mobile and web development, test automation, UI/UX design, and product management, holding a Business Management degree from Istanbul Kültür University.

Ulas Ozan Ceyhan is a Computer Engineer with 13+ years of experience in AI, Data Engineering, Machine Learning, and Software Development. He has held roles at Huawei Turkey, Turkish Post (PTT), and Başarı Mobile, leading projects in AI, NLP, and large-scale data systems. He holds MSc degrees in Computer Engineering and is pursuing a PhD in Artificial Intelligence Technologies at Ankara University, focusing on enhancing Large Language Models (LLMs) with Spiking Neural Networks.

Taha is a Data Scientist with experience in advanced analytics, machine learning, and MLOps. He has led impactful projects in the banking sector, developing predictive and optimization models that improved customer retention, reduced risk, and drove revenue growth. His expertise spans data-driven decision-making, model deployment at scale, and building end-to-end machine learning pipelines. 

Black Belt Machine Learninger with over 4 years of experience in developing and deploying AI-driven solutions, with expertise in machine learning, deep learning, computer vision, and natural language processing. Skilled in LLMs, context / prompt engineering, and building scalable systems for tasks like speech recognition, outlier detection, and recommendation engines. Adept at optimizing ML pipelines for performance and deploying models through platforms such as Colab, Streamlit, Docker, and Kubernetes. Passionate about innovation and delivering impactful AI solutions, with a focus on research, efficiency, and real-world applications.

Senior AI Engineer & Data Scientist with a strong background in both research and real-world AI applications. Experienced in developing machine learning, NLP, and agentic AI/LLM solutions across R&D and industry projects, with 11 published academic papers. Skilled in transforming complex problems into scalable, production-ready AI systems using modern tools, frameworks, and cloud platforms.

Ali Eren Çamur studied Economics at Boğaziçi University and earned a research master’s degree in Econometrics from Tilburg University. He has worked as a Quantitative Researcher at Tradeware Technology and Vitus Commodities, focusing on data-driven financial analysis and modeling.

Naim Şahin, with 6 years of experience in Software Engineering, Data Engineering, and Data Science, has previously led the engineering team as a Technical Leader for 2 years, has held roles at Ford Otosan , Tubitak , Oredata , and the Tourism Development Agency (Technical Leader in Data, AI, and Software Engineering) and holds a Bachelor's degree in Computer Engineering from Sakarya University.

Çağrı Kaplan is a Senior Data Scientist whose work sits at the intersection of advanced research and real-world impact. His career has been shaped by designing AI systems that not only process information but also reason, decide, and adapt—ranging from autonomous claim assessment engines for insurance to natural-language voice assistants for cryptocurrency trading. With a foundation spanning computer vision, large language models, and agentic AI, he brings a rare ability to turn complex, emerging technologies into scalable products. Beyond technical depth, his approach is guided by a systems-level perspective: aligning cutting-edge AI capabilities with business strategy to create solutions that are not only intelligent but also context-aware, resilient, and future-ready.

Taşkın Temiz is a software developer and researcher with a strong foundation in Computer Science and engineering. He has delivered end-to-end software projects across various industries, managed projects and led teams, and driven R&D processes for multiple products. With expertise in big data, machine learning, artificial intelligence, and natural language processing, he focuses on integrating innovative technologies into real-world applications and designing scalable, sustainable systems.

Yeşim Özşelek is a Product Manager with over 7 years of experience in B2B SaaS, fintech, and AI-driven solutions. She holds a degree in Industrial Engineering from Istanbul Technical University and a Master’s in Marketing from Galatasaray University. Having worked at Insider and later as a Senior Product Manager at a London-based fintech company, she specializes in API architectures, financial transaction flows, e-commerce optimization, and AI-powered solutions. She is also a certified Professional Scrum Product Owner (PSPO) and mentors startups at İTÜ Çekirdek.

Enes Karanfil is a Data Scientist with 5+ years of experience in search/retrieval and computer vision, focused on multimodality and large language models. He completed an MSc in Computer Science at Hacettepe University and spent 6 months as a Visiting Researcher at National Institute of Advanced Industrial Science and Technology, Tokyo working on multimodality concept. He has worked at GarantiBBVA Technology, Huawei, n11, and brings 2 years of startup experience.

Canberk Sağlam is a Data Scientist with over 4 years of experience in recommendation systems, natural language processing, and computer vision. He has worked at N11 and Roketsan, delivering solutions ranging from large-scale personalized recommender systems to computer vision applications. A graduate of TOBB University of Economics and Technology in Electrical and Electronics Engineering, he combines applied research with practical engineering to design AI systems that improve business outcomes and user experiences.

I am Mehmet Koçer, a Data Engineer passionate about building scalable systems and integrating AI-driven solutions. I have hands-on experience with modern data stacks (PostgreSQL, MongoDB, Snowflake, AWS S3), ETL/ELT pipelines, and cloud-native architectures. Beyond data engineering, I design full-stack applications (React, Next.js, Node.js/Express) and microservice-based backends with secure authentication. With DevOps expertise in Docker, Kubernetes, and cloud services, I ensure reliable deployments at scale. I also explore multi-agent systems, RAG pipelines, and AI-powered assistants, focusing on LLM orchestration, semantic search, and GPU-accelerated deployment.

Berru Lafcı is a Junior AI Engineer with a strong background in computer engineering and artificial intelligence. She has contributed to end-to-end AI projects, including her current work on the Bizigo project, and brings hands-on experience from four internships in diverse fields such as Explainable AI at the University of Amsterdam and advanced data analytics at YıldızTech. Having published a paper on KAN networks, she combines academic research with practical applications. With expertise in machine learning, image processing, and augmented reality, she focuses on building scalable and innovative AI-driven solutions.

Halil Kesmük is a data scientist with a degree in Artificial Intelligence Engineering from Hacettepe University. He previously worked on various computer vision projects as an AI engineer at another company and is currently working on agentic assistant development as part of the data science team.

Esra Kaya, a Computer Engineering graduate from Manisa Celal Bayar University, has previous experience at BELBİM and Doğuş Teknoloji, where she focused on full-stack web development and Generative AI projects, including LLM-based chatbot solutions. She is passionate about building AI-driven systems by combining her software engineering background with a strong research-oriented mindset.

Aleyna Uslu is a Brand Marketing Specialist with experience in AI, fintech, and technology-driven solutions. She holds a degree in Industrial Engineering and has built her career across Europe and Turkey. At Prometa AI, she transforms case studies into scalable product narratives, develops sales and marketing collateral, and drives PR, digital growth, and MarCom strategies. Meanwhile, at Mobven, she leads all marketing communications and event initiatives, enhancing brand visibility and supporting the company’s positioning in the fintech ecosystem.

Betül Beydoğan is a Human Resources professional with 4 years of experience and a background in Econometrics from Istanbul University. She began her career in technology-driven companies, working as an IT Recruiter at Tmob, where she specialized in hiring for technical roles such as software and data engineering. She later served as an HR Business Partner at Mobven and Prometa, contributing strategically to recruitment, onboarding, performance management, and employee experience. Over the past 3 years, she has worked closely with teams in technology, consulting, and artificial intelligence, supporting both the establishment of organizational processes and the execution of growth strategies.