Engineering Manager, taico GmbH
2024 – present
Leading architecture, infrastructure, and security for a GCP-based analytics platform serving 5 enterprise clients in media analytics, retail, and streaming.
Baris Sozudogru
Curious Engineer. TUM. Munich.
Now
I manage the infrastructure and architecture at taico, where we run a GCP platform serving major European enterprises in media analytics, retail, and streaming. I also consult for Telefonica (O2) on 5G edge computing and computer vision for autonomous systems.
Day to day, I work across the full stack: cloud infrastructure on GCP, API development, data pipelines, databases, and agentic AI workflows. My academic background is in robotics, computer vision, and autonomous systems (TUM).
In my own time I build things: an artificial life simulation in Rust/WebAssembly, multi-agent systems with Google ADK, MCP servers, and context engines for AI coding assistants. Details on each project below.
Work
Technical Consultant (Part-time), Telefonica (O2) Germany
2024 – present
Part-time technical advisory on 5G, edge computing, and computer vision at the Technology Strategy & Innovation department.
Founding Engineer, taico GmbH
2021 – 2024
First engineer. Built the platform from scratch: data pipelines, APIs, cloud infrastructure. Grew the company from idea to funded product.
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
Master's thesis with Telefonica. Compared 5G and Wi-Fi for autonomous systems on an industrial forklift. Presented to Telefonica supervisory board.
Scene-aware and social-aware neural networks for vehicle behavior prediction. Chair of Cyber Physical Systems, TUM.
Large-scale ground truth dataset for automated structured radiology reports. Chair of Computer Aided Medical Procedures, TUM.
Localization for autonomous driving via GNN-based point cloud registration. Chair of Robotics, AI and Real-time Systems, TUM.
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. Rust/WebAssembly with TypeScript frontend.
Cortex AI
Context engine for macOS that watches screen activity, reads calendar, and assembles relevant context for AI coding assistants via MCP.
ADK Agent Playground
Multi-agent systems built with Google Agent Development Kit. Deep research, code review, structured debate, market analysis, summarization, and iterative writing. Python, model-agnostic via OpenRouter.
Deep Research Digest
MCP server for federated academic search across arXiv, PubMed, and Semantic Scholar.