Viktor Sisik

Working at the intersection of AI, innovation, and banking transformation. My role focuses on identifying, designing, and scaling practical applications of artificial intelligence across the organization. I help bridge business needs with emerging technologies, enabling teams to leverage AI in meaningful and measurable ways. Key areas of focus: - Enterprise AI adoption and enablement - Generative AI and AI agents - AI solution design - Innovation discovery and experimentation - AI education and capability building - Future of work and human-AI collaboration In addition to hands-on AI initiatives, I regularly design and deliver workshops, presentations, and knowledge-sharing sessions for employees, leadership teams, and internal communities. These activities help build AI literacy, accelerate adoption, and foster a culture of innovation across the organization. I regularly collaborate with business, technology, and leadership teams to explore how AI can improve decision-making, productivity, customer experience, and organizational effectiveness.

Led a cross-functional team of AI engineers focused on developing medical imaging solutions for real-world clinical environments. Responsible for defining technical direction, prioritizing initiatives, and ensuring successful delivery of AI-driven products across the full development lifecycle. Key responsibilities included: - Leading multidisciplinary collaboration between AI engineers, radiologists, and healthcare professionals - Translating clinical challenges into scalable AI solutions - Driving development of machine learning and computer vision systems for diagnostic support and workflow optimization - Overseeing model validation, explainability, and quality assurance processes - Building robust data and AI infrastructure to support research and product development - Supporting innovation initiatives and identifying new opportunities for AI adoption in healthcare The role combined technical leadership, stakeholder management, and product-oriented thinking to bridge healthcare needs with emerging AI capabilities.

Designed and developed AI-driven solutions for banking use cases across multiple domains, helping transform complex business challenges into practical applications of artificial intelligence. Worked on end-to-end development of intelligent systems leveraging natural language processing, large language models, computer vision, and speech technologies. Areas of focus included: - Knowledge retrieval and question-answering systems using RAG architectures - Semantic search, vector databases, and similarity-based information retrieval - Document intelligence solutions for classification, extraction, and processing of unstructured data - Speech-to-text and text-to-speech applications - Prompt engineering and evaluation of generative AI systems Collaborated with business stakeholders to identify opportunities for AI adoption and translate emerging technologies into solutions with measurable business value. Technologies: PyTorch, TensorFlow, Hugging Face, FastAPI, LLMs, Vector Search, OCR, CLIP.

- analýza dát - implementácia nových požiadaviek z businessu - vývoj API - technická analýza flowu - grafová DB - práca s DB

Creating Automated Scripts using TestNG a Jenkins: - Selenium webdriver in Java and integrating them to build deployments - testing API in Java