I design autonomous AI agents, multi-agent systems and intelligent automation — and research how they can coordinate and self-govern without a central authority.
I'm a final-year Computer Engineering student — 100% English-taught, MÜDEK-accredited — and an AI engineer focused on agentic systems: autonomous AI agents, multi-agent architectures and intelligent automation.
My work spans hands-on R&D in the defense and AI industries, an active freelance practice delivering AI consulting and custom software, and applied research into how autonomous agents establish identity and govern themselves through swarm-intelligence principles.
I've led a university team to a Teknofest national championship, held leadership roles across the IEEE IKU Computer Society, and currently serve as Marmara Region Coordinator for IEEE Türkiye's Computer Society.
A national-championship fixed-wing combat UAV built with a university team across three Teknofest competition cycles. I led design and analysis, managed 3D design and team coordination, and joined the AI R&D team developing autonomous pathfinding algorithms.
An autonomous retail-intelligence concept for LC Waikiki — computer vision (YOLOv8), RFID and edge AI — delivered as full technical documentation, an interactive demo and an R&D proposal.
An LLM-based NLP pipeline that analyzes sentiment and produces automated summaries from news content, built within a larger AI project.
A university project automating a 6-axis robotic arm with computer vision for industrial part detection and handling.
Production e-commerce platforms (WordPress, Firebase, Netlify) with AI chatbots and virtual try-on, plus live-stream commerce bots with thermal-printer integration.
Large-scale marketplace data-extraction pipelines with proxy rotation, GitHub Actions scheduling and Telegram-based change notifications.
Autonomous pathfinding algorithms for the Teknofest Fighter UAV's AI R&D track, enabling self-guided flight planning.
A thesis examining trustless coordination, identity and decentralized governance for multi-agent AI systems that operate without a central authority.
It explores how autonomous agents can establish verifiable digital identities and self-govern through swarm-intelligence principles — a foundation for agentic systems that scale beyond centralized control.
Open to AI / ML engineering roles and selective freelance work. The fastest way to reach me is email.
utkutopaltopal@gmail.com