Barış Sözüdoğru

Engineering manager in Munich. Exploring intelligence.

At taico, I manage the infrastructure and architecture of a GCP platform serving major European enterprises in media analytics, retail, and streaming. Separately, I consult for Telefonica (O2) on 5G edge computing and computer vision for autonomous systems.

My bachelor’s in electrical and computer engineering and master’s in robotics are both from the Technical University of Munich. The academic focus was on machine learning for perception, localization, and motion prediction in autonomous systems.

Work and education

Work

Engineering Manager, taico GmbH: 2024 - present; Leading architecture, infrastructure, and security for a GCP-based analytics platform serving enterprise clients in media analytics, retail, and streaming.
Consultant, Telefonica (O2) Germany: 2024 - present; Advisory on 5G, edge computing, and computer vision at the Technology Strategy & Innovation department.
Founding Engineer, taico GmbH: 2021 - 2024; Built the platform from scratch: data pipelines, APIs, cloud infrastructure. Helped take the product from zero to funded, with the first enterprise clients.

Education

M.Sc. Robotics, Cognition and Intelligence: 2021 - 2024; Technical University of Munich.
B.Sc. Electrical and Computer Engineering: 2017 - 2021; Technical University of Munich.

Research

Private 5G for Real-Time Object Detection: 2024; Master's thesis with Telefonica. Compared 5G and Wi-Fi for real-time object detection, with a separate industrial forklift demonstration. Presented to Telefonica supervisory board.
Motion Prediction for Autonomous Driving: 2023; Scene-aware and social-aware neural networks for vehicle behavior prediction. Chair of Cyber Physical Systems, TUM.
Radiology Report Generation with LLMs: 2023; Large-scale dataset for automated structured radiology reports. Chair of Computer Aided Medical Procedures, TUM.
Point Cloud Registration with Graph Neural Networks: 2022; Localization for autonomous driving via GNN-based point cloud registration. Chair of Robotics, AI and Real-time Systems, TUM.
CNNs and Extreme Learning Machines on Mobile Devices: 2021; Bachelor's thesis. Deep learning for image classification on Raspberry Pi. Chair of Data Processing, TUM.

Independent work

Petri Labs: Interactive laboratories for evolution and complex systems, with reproducible experiments and a benchmark for scientific reasoning.
Piiscope: Open-source software for detecting personal data and measuring privacy risks.
Synfire: Experiments with Forward-Forward and Hebbian learning for time-series analysis.