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JustinGuese/README.md

Justin Güse | Technical Outlier & AI Architect 🚀

Data Engineer | DevOps Specialist | Agentic AI & Quant Developer

I architect mission-critical systems for global enterprises and contribute to the core infrastructure of the modern cloud. My work bridges the gap between BaFin-regulated financial environments and cutting-edge autonomous agentic workflows.

🏛️ Core Ecosystem Contributions

I contribute to the foundational tools that power the internet's infrastructure:

🛡️ Professional Work History & "War Stories"

DataFortress.cloud (Self-employed) | Oct 2020 – Present

  • Atruvia (Banking IT): Engineered high-availability OpenShift environments for Germany’s largest banking network, ensuring strict BaFin compliance.
    • Key Achievement: Mitigated a critical HashiCorp Vault cross-datacenter failure within a strict 2-hour window, preventing a mandatory federal reporting event with zero data loss.
  • Automotive (HPE/VW/Porsche/BMW): Led petabyte-scale data replication across 60+ countries and designed hybrid cloud migrations.
  • Health & Bio (Buchinger Wilhelmi / NavicareNow): CTO and Architect roles focusing on transferring sensitive health data to the cloud and building ML pipelines for fasting outcome prediction.
  • Quant (Jim Harris Corp): Developed real-time stock prediction systems using Kafka, RabbitMQ, and Tensorflow.

Porsche Holding | Oct 2016 – 2019

  • Specialized in Data Warehousing and high-profile innovation projects, including a VR Motion Seat for Formula E touring all over Europe.

🚀 The Product Foundry (SaaS, AI Agencies & Products)

I build, launch, and scale production-ready systems that solve complex algorithmic, hardware, and operational problems:

  • AgentBureau: An elite B2B AI agency platform focusing on deploying production-ready multi-agent workflows, custom LLM fine-tuning, and operational automation.
  • DocumentChat: Enterprise-grade AI RAG assistant for high-accuracy semantic search across massive document sets.
  • WiFiSenseBox: An innovative IoT hardware-software solution engineered for signal detection, environmental sensing, and smart infrastructure metrics.
  • AI Investing Bots: Quant and Algorithmic trading frameworks running automated forecasting models and deep quantitative analysis.
  • PsychDiary: AI-powered companion mobile app for automated cognitive tracking and emotional analytics.
  • NavicareNow: AI-driven medical navigation platform for patient documentation and guidance, backed by the Now2 Next Accelerator.
  • Tiledom: A focused project within the Crypto, Web3, and economic simulation ecosystem.

🗄️ Featured Project Index

🤖 Agentic AI & LLM Systems

  • OpenShrimp: Persistent, task-driven LangGraph research agent with a modular plugin system and anti-bot evasion heuristics.
  • AgenticSeek: Fully local autonomous agent that thinks, browses, and codes (Open-source Manus AI alternative).
  • KuberneteslocalGPT: Private, on-premise RAG implementation tailored for isolated Kubernetes infrastructure.

📈 Quant & Algorithmic Trading

  • Python Tradingbot Framework: K8s-native algorithmic framework featuring 150+ technical indicators and distributed hyperparameter optimization.
  • Kubernetes Autonomous Trading Agent: LLM-powered Solana agent running market scraping and transaction execution via native K8s CronJobs.
  • AI Hedge Fund: Multi-agent collaborative team for algorithmic market reasoning and portfolio risk management.

🏗️ Infrastructure, DevOps & IoT

  • Python-OpenObserve: High-performance connector for sub-second OpenObserve telemetry and logging pipelines.
  • Rspamd-Iscan: Advanced IMAP mailbox spam-filtering chart leveraging Bayesian learning models.
  • Picture Rotation Fixer: Content-aware image processing pipeline using face detection algorithms to auto-orient scanned photos.

🧰 The Stack

  • Languages: Python (Tensorflow, Keras, FastAPI), Go (K8s CSI Drivers), Dart (Flutter Mobile/Web), Rust (Solana contracts), Java, TypeScript, HCL (Terraform).
  • Orchestration & DevOps: Kubernetes, OpenShift, Helm, ArgoCD, Tekton Pipelines.
  • Data Layers: Trino / Starburst, Kafka, RabbitMQ, PostgreSQL, MinIO, OpenObserve.
  • Cloud Infrastructure: AWS Certified Solutions Architect, GCP, Azure.

📫 Connect with Me

Pinned Loading

  1. google-research/timesfm google-research/timesfm Public

    TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

    Python 20.1k 2k

  2. pandas-dev/pandas pandas-dev/pandas Public

    Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

    Python 48.8k 20k

  3. mtcnn-face-extraction-eyes-mouth-nose-and-speeding-it-up mtcnn-face-extraction-eyes-mouth-nose-and-speeding-it-up Public

    In this Jupyter Notebook I will explore how to use MTCNN to extract faces including mouth, nose and eyes and finally how to improve the speed of the base model by 100

    Jupyter Notebook 15 4

  4. picture-rotation-fixer picture-rotation-fixer Public

    Effortlessly fix sideways or upside-down scanned photos—Picture Rotation Fixer auto-rotates images to the correct orientation by detecting faces and content. No more manual flipping, just smart, in…

    Python 8 1

  5. docker-reinforcement-learning-tradingbot docker-reinforcement-learning-tradingbot Public

    Python 1

  6. python_tradingbot_framework python_tradingbot_framework Public

    Python algorithmic trading bot framework for Kubernetes: backtesting, hyperparameter optimization, 150+ technical analysis indicators (RSI, MACD, Bollinger Bands, ADX), portfolio management, Postgr…

    Jupyter Notebook 33 13