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rschumann/README.md

Sebastian Schkudlara – AI & Microservices Architect

AI & Microservices Architect | DevOps & Agentic AI Specialist | 19+ Years of Experience
Madrid, Spain
LinkedIn | Website


πŸ‘‹ About Me

I'm Sebastian Schkudlara, an AI & Microservices Architect with nearly two decades of experience designing scalable, high-performance backend systems and AI-driven applications. My expertise lies in agentic AI, large language model (LLM) orchestration, DevOps automation, and cloud-native microservices. I bridge the gap between theoretical AI capabilities and practical, secure enterprise implementation.


πŸš€ Key Achievements

  • SwitchAI: Engineered a multi-model AI proxy, optimizing request routing across OpenAI, Anthropic, Google AI Studio, Mistral, Hugging Face, and custom models, reducing costs by 30%.
  • HiveMindAI: Built an autonomous AI agent marketplace for data analysis and workflow automation, accelerating AI adoption.
  • AI-Driven Logistics (ChainGO): Led the shift to AI-first automation in logistics, introducing AI-powered document processing and anomaly detection to enhance efficiency.

🧠 Core Competencies

  • AI & Agentic Development:
    LLM integration (OpenAI, Anthropic, Google AI Studio, Mistral, DeepSeek, NVIDIA NIM, Hugging Face, etc.), RAG pipelines, AI orchestration (PydanticAI, LangChain), custom model training.

  • Microservices & DevOps:
    Kubernetes, Docker, Terraform, AWS, GCP, event-driven systems (Kafka, RabbitMQ, SQS), CI/CD, observability.

  • Backend Engineering & Data:
    API development (FastAPI, Ruby on Rails), real-time data processing (Redis, Memcached), advanced database expertise (PostgreSQL, MongoDB, Neo4j).


πŸ† Featured Projects

  • ChainGO eBL Platform: Digitized the Bill of Lading process using Polygon blockchain for immutable, NFT-backed documentation.
  • ForestChain Digital Passport: Built a blockchain-based system for forest product traceability and sustainability compliance.
  • Agentero Platform: Developed insurance-focused data analytics and scalable, Kubernetes-powered backend systems.
  • World Resources Institute API: Created global environmental data APIs used by researchers worldwide.

πŸ’» Technical Skills & Tools

  • Languages: Python, Ruby
  • AI & LLMs: OpenAI API, PydanticAI, LangChain, Hugging Face, fine-tuning, prompt engineering
  • Blockchain: Solidity, NFT/tokenization, decentralized data management
  • Event-Driven Systems: Kafka, RabbitMQ, SQS, Pub/Sub
  • Databases: PostgreSQL, MySQL, MongoDB, Neo4j
  • DevOps & Cloud: Kubernetes, Docker, Terraform, AWS, GCP, Azure, GitHub Actions, Prometheus, Grafana

🏒 Professional Experience

  • Traylinx (2024–Present): Freelance Developer & Product Architect – AI proxy & agentic marketplace development.
  • Babel Group (2024): AI Engineer – Enterprise RAG solutions, NLP pipelines, LLM optimization.
  • ChainGO (2019–2024): Head of Development – AI-driven logistics automation, blockchain integration.
  • Agentero (2017–2018): Head of Development – Real-time analytics and ML in insurance.
  • Vizzuality (2014–2017): Backend Engineer – Environmental data APIs and microservices.

🌍 Languages

  • Spanish (Native)
  • German (Fluent)
  • Polish (Fluent)
  • English (Fluent)

πŸ“« Contact


⚑ Let’s Connect!

I'm available for enterprise AI architecture consulting and speaking engagements.
Feel free to reach out if you want to collaborate or learn more about secure, scalable, and agentic AI systems!

Pinned Loading

  1. traylinx/a2a-ruby traylinx/a2a-ruby Public

    Ruby SDK for Google's Agent2Agent (A2A) Protocol - enabling seamless agent-to-agent communication via JSON-RPC 2.0, gRPC, and HTTP+JSON transports

    Ruby 1