I'm a machine learning engineer, software developer, and robotics researcher based in Türkiye. For the past fifteen years, I've helped research labs and startups turn ambitious ideas into working systems, from learning algorithms to physical prototypes.
From the first dataset to the final fabricated part, I work across the full stack of modern engineering, bridging machine learning, software, and robotics into systems that actually work in the real world.
End-to-end machine learning from raw, messy data to deployed models that hold up under real production loads. I focus on systems that are interpretable, efficient, and genuinely useful.
Core SkillsHand-crafted, scalable codebases that age well. Whether it's a research prototype or a production service, I write software that's readable on Monday and maintainable a year later.
Core SkillsClosing the loop between perception, planning, and control. I build robotic systems that move with intent, from low-level dynamics to high-level autonomy.
Core SkillsFrom CAD model to physical part. I take ideas through 3D design, simulation, and additive manufacturing, so the things I prototype actually exist in the room with you.
Core SkillsTurning open questions into demonstrable results. I read the papers, run the experiments, write the report, and build the prototype that proves whether the idea is actually worth pursuing.
Core SkillsModels are only useful if they survive contact with production. I set up pipelines, monitoring, and the boring infrastructure that keeps trained models running, observable, and continuously improving.
Core SkillsA small selection of recent projects across machine learning, robotics, and software engineering. Each one taught me something new about working systems.
A real-time BCI system that classifies motor imagery from live EEG signals using our NF-EEG and IS-EEG models, enabling control of both the connected computer and integrated external devices.
Read the case studyDevelopment of advanced reinforcement learning algorithms on a four-legged robot platform, enabling it to carry out assigned tasks efficiently and reliably.
View projectAI and vision-enabled gripper designed for next-generation soft robotic systems, built to adapt to a wide range of applications.
Visit projectAn LLM-powered platform that consolidates administrative and academic data from universities and research centers. It analyzes information on staff and students at every stage to generate detailed analytics and actionable recommendations.
See the repoFour areas of work, depending on where you are in your engineering journey. Every engagement starts with a free 30-minute call. No pressure, no sales pitch.
Applied machine learning for real-world problems, from feasibility study to a trained, evaluated, production-ready model.
Scalable backends, internal tools, scientific software, and APIs. Hand-crafted in Python for clarity, C++ for performance, or both together.
Perception, planning, and control for mobile robots and manipulators. Long-term partnerships where I embed with your team and ship alongside your engineers.
A focused engagement to de-risk an idea before you commit. Useful for grant applications, technical due diligence, or right before a major build.
Research projects, client engagements, and the occasional weekend experiment that turned into a published paper.
Energy Sector · Ankara
Autonomous Vehicles · Munich
Research · ETH Collaboration
FinTech · Amsterdam
MedTech · Istanbul
IEEE ICRA · Co-authored
I take on a handful of engagements each quarter so I can give every one of them real attention. If you're thinking about an ML system, a robotics prototype, or a piece of software that has to actually work, drop me a note. I usually reply within a day.
