Kent Umut
CS Student @ ETH Zürich focused on machine learning and artificial intelligence.
Download CVCurrently pursuing my Bachelor's in Computer Science at ETH Zürich, specializing in machine learning and natural language processing. My work focuses on developing robust, scalable AI solutions—from research prototypes to production systems. I believe in building technology that amplifies human capability.
Head of Treasury & Director of Marketing
Marketing
Head of Treasury & Director of Marketing
Serving as Director General & IT at Kolektif Oluşum, largest student network in Türkiye and Europe. Contributed to organizational leadership while supporting the development of kolektifolusum.org. Previously led the organization as President, overseeing strategy, community growth, and international outreach.
Software Engineer Intern
Gained hands-on experience in backend software development, Java programming, and 5G infrastructure by working on real-world projects. Developed proficiency in Java with a focus on object-oriented programming, data structures, and algorithms. Worked with version control systems (Git) and contributed to collaborative coding workflows. Explored 5G infrastructure concepts and their integration with backend systems for scalable, high-performance applications. Gained foundational knowledge of DevOps, including CI/CD pipelines, containerization, and cloud-based deployment.
Intern
Worked in a $1M+ funded startup, closely collaborating with the founder and CEO to understand how to build, scale, and lead a technology-driven company. Actively participated in strategic meetings, gaining firsthand insights into entrepreneurship and early-stage decision-making. Contributed ideas on startup marketing, one of which was successfully implemented within the firm. Strengthened entrepreneurial thinking, team collaboration, and the ability to drive product and business growth in a lean startup environment.
AI Voice Transcription tool that runs on every desktop with Electron + React frontend and Whisper + FastAPI backend.
A project focused on implementing Retrieval-Augmented Generation (RAG) with OpenAI, enabling more accurate and context- aware AI responses by integrating retrieval mechanisms with large language models.
Open to research collaborations and interesting opportunities.