11.04.2025 aktualisiert


100 % verfügbar
Artificial Intelligence and Data Engineer
Berlin, Deutschland
Nur Remote
Bachelor's in Artificial Intelligence and Data EngineeringSkills
Künstliche IntelligenzApache AirflowLuftfahrtData AnalysisKünstliche Neurale NetzwerkeComputer VisionAutonome SystemeBig DataInformation EngineeringGPSApache HadoopHadoop Distributed File SystemInnovationsmanagementPythonMachine Learning
Artificial Intelligence & Data Engineer | Python | Computer Vision | Robotics | Data Engineering
I am an Artificial Intelligence and Data Engineer with 5 years of experience in Python programming, data engineering, autonomy, and computer vision. Currently studying at Istanbul Technical University, I have been actively involved in autonomous systems, machine learning, and big data processing.
Key Skills & Expertise:
✅ Python & AI Development: Experienced in Pandas, NumPy, PyTorch, and deep neural networks.
✅ Autonomy & Robotics: Expertise in ROS/ROS2, GAZEBO, sensor fusion (GPS, IMU, LIDAR), path planning, and optimization.
✅ Big Data & Analytics: Hands-on experience with Spark, Hadoop, HDFS, Kibana, and Airflow for real-time data processing.
✅ Software Engineering: Developed Python-based solutions that reduced workflow time by 80% and worked on predictive maintenance for optimizing operations.
✅ Machine Learning & Computer Vision: Implemented self-supervised contrastive learning models and rPPG signal extraction techniques for remote health monitoring.
I am passionate about autonomous systems, AI-driven analytics, and aviation technologies. Open to freelance opportunities where I can apply my expertise to solve challenging AI, robotics, computer vision or big data problems.
Let’s connect and build innovative solutions together!
Erfahrung
Berufserfahrung5 - 10 Jahre
Freelancer seit2021
Sprachen
DeutschgutEnglischverhandlungssicherRussischgutTürkischMuttersprache
Projekthistorie
Optimized design workflow, reduced development time by 80% using Python and Pandas. Performed real-time data harvesting and conducted research on predictive maintenance.
Provided mentorship in competitions, technical know-how (PyTorch, System Design, ROS2), and team management.
Implemented and tested a contrastive self supervised learning network for remote heart rate detection.