Systems Engineering

Ozkan Ceylan

I am a Mechatronics Engineer specializing in the intersection of machine learning and physical robotic systems. My work focuses on creating intelligent autonomous behaviors that operate reliably in the real world.

Currently based in Berlin, I bridge the gap between high-level research and low-level hardware integration. I believe the future of robotics lies in general-purpose models that can perceive, reason, and act across diverse environments.

Core Philosophy
"Real robots are noisy, imperfect, and unpredictable. Robust engineering means building systems that embrace this complexity rather than ignoring it."
Professional Experience
APR 2024 — PRESENT

AI Engineer

@Area99
Berlin

Autonomous vehicle development, embedded systems (STM32/CAN bus), sensor fusion, cloud infrastructure (Kubernetes/ArgoCD), and enterprise AI systems.

MAY 2023 — JULY 2025

AI Engineer

@Greenbox Mobile Energy
Berlin

ML forecasting for EV charging and energy markets. Solar power prediction. MLflow lifecycle management.

OCT 2021 — OCT 2022

Project Engineer

@Dalmec Manipulators
Izmir

Industrial manipulator design and material handling systems for manufacturing.

OCT 2020 — OCT 2021

Technical Purchasing Engineer

@Volt Electric Motors
Izmir

Technical procurement and supply chain optimization.

AUG 2019 — JULY 2020

Project Engineer

@Bosch Thermotechnology
Manisa

AGV integration solutions for warehouse logistics automation.

Technical Arsenal

Robotics & Simulation

ROS 2Micro-ROSMuJoCoGazeboImitation LearningSensor FusionInverse KinematicsPD Control

Embedded Systems

C++STM32ESP32CAN BusFreeRTOS

AI & ML

PythonPyTorchTensorFlowComputer VisionLLMs/VLMsRAG SystemsMLflow

Cloud & DevOps

KubernetesDockerArgoCDCiliumAWSTerraformCI/CD
Academic Foundations
2022 — 2024
M.Sc. Data Science
University of Europe for Applied Sciences Berlin
2014 — 2020
B.Sc. Mechatronics Engineering
Izmir Katip Celebi University Izmir
Network

Let's discuss systems.

Always open to collaborating on complex robotics challenges or machine learning infrastructure projects.

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