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.
Baris Sozudogru
Curious Engineer. Munich.
Now
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.
Day to day, I make large GCP platforms scale across cloud, data, and AI. My academic background is in robotics, computer vision, and autonomous systems.
In my own time I build side projects on emergence, memory, and reasoning. Details on each below.
Work
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 autonomous systems on an industrial forklift. 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 ground truth 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.
Projects
Petri Labs
Artificial life simulation where neural network organisms evolve, hunt, and speciate in real-time in the browser.
Cortex AI
Brain-shaped memory layer for AI coding assistants. Runs locally on macOS, with hippocampal consolidation, a theory-of-mind user model, negative-space retrieval, and calibrated retrieval probabilities.
ADK Agent Playground
Seven multi-agent systems on Google ADK plus seven research-grade primitives, composed into harness science and a governed self-evolution loop with a Bayesian surrogate.
Deep Research Digest
Federated academic search across arXiv, PubMed, and Semantic Scholar.