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SEBASTIAN SCHKUDLARA

AI & MICROSERVICES ARCHITECT // DEVOPS & AGENTIC AI SPECIALIST // 19+ YEARS OF EXPERIENCE // RUBY & PYTHON
PLAYER_PROFILE_V24.1
CLASS Senior Software Architect
LEVEL Lead / Senior (19+ EXP)
ORIGIN Germany πŸ‡©πŸ‡ͺ / Poland πŸ‡΅πŸ‡±
BASE Germany πŸ‡©πŸ‡ͺ / Spain πŸ‡ͺπŸ‡Έ
CONTACT EMAIL | LINKEDIN | GITHUB | BLOG
AUDIO_BIO PLAY_TAPE.WAV
πŸ”΄ CORE_TECH
Ruby (Rails), Python
PostgreSQL, Redis
Solidity (Smart Contracts)
πŸ”΅ AI_DATA
RAG Pipelines
Fine-tuning (LLaMA/Mistral)
Vector DBs (pgvector)
🟒 ARCHITECTURE
Microservices
Event-Driven (Kafka)
K8s / AWS / GCP
🧰 TOOLBELT & INVENTORY

Databases: MongoDB, Neo4j, MySQL, SQLite, Memcached, Elasticsearch.
DevOps & Scripting: Python, Bash/Shell, Ansible, Terraform, GitHub Actions, Prometheus, Grafana.
Blockchain: Polygon, Ethereum, Hyperledger, Hedera, Chainlink, Stellar.
Architecture: REST, GraphQL, gRPC, JSON-RPC, OAuth 2.0, WebSocket.

βš”οΈ SPECIAL ABILITIES
  • Polyglot: DE (Native), PL (Native), EN (Fluent), ES (Fluent).
  • Hyper-Productivity: Rapid prototyping, TDD, & deployment.
  • Team Buff: Mentorship, Team Building, & Technical Leadership.

Professional Summary

Innovative AI & Microservices Architect with nearly two decades of experience in scalable, high-performance backend systems, event-driven architectures, and AI-driven applications. Expertise in agentic AI, large language model (LLM) integration, DevOps automation, and cloud-native microservices.

Primary Goal: Delivering robust, cost-effective, and scalable platforms using Kubernetes, AWS, Python-based AI frameworks, RAG workflows, and Ruby on Rails API development.

Core Competencies

AI & Agentic Development
  • LLM Integration: OpenAI, Anthropic, Google, Mistral, LLaMA, DeepSeek, etc.
  • RAG Pipelines: High-accuracy retrieval-augmented generation.
  • AI Orchestration: PydanticAI, LangChain, custom multi-agent systems.
  • Vector DBs: Pinecone, ChromaDB, pgvector.
Microservices & DevOps
  • Cloud: Kubernetes, Docker, Terraform, AWS, GCP, Azure.
  • Streaming: Kafka, RabbitMQ, Sidekiq, Redis Pub/Sub.
  • CI/CD: GitHub Actions, Prometheus, Grafana.
Backend Engineering
  • APIs: FastAPI (Python), Ruby on Rails, GraphQL, gRPC.
  • Real-time: Redis, streaming analytics.
  • Database: PostgreSQL, MongoDB, Neo4j - optimized for AI workloads.

Professional Experience

TRAYLINX // Freelance Developer | Product Architect
2024 – Present

SwitchAI (Multi-Model AI Proxy): Architected and engineered an AI request-routing proxy, dynamically selecting models based on cost/latency. Unified integrations across OpenAI, Anthropic, Google, etc.

Scoutica: Led the architecture of a multi-agent recruitment platform. Orchestrated specialized AI agents using event-driven AWS SNS/SQS.

HiveMindAI: Built a marketplace for autonomous AI agents. Developed Traylinx CLI for seamless agent lifecycle management.

Advanced OAuth 2.0 Auth Service: Designed high-security microservice with specialized A2A flows. | Clients: Python, Node.js

A2A Ruby GEM: Developed production-grade SDK for Google's A2A protocol (gRPC, OAuth 2.0). | View Repo

PythonFastAPIRuby on RailsK8sAWSPydanticAIRedis
Monodon (Navantia) // Deeptech AI Specialist
2023 – 2025

Architected advanced RAG systems for industrial R&D. Led model fine-tuning initiatives for maritime and defense sectors.

PythonPyTorchHugging FaceLangChainRAGK8s
Babel Group // AI Engineer
2024

Developed RAG-based AI solutions and optimized LLM performance for enterprise data infrastructure. Built NLP pipelines for summarization and sentiment analysis.

PythonHugging FaceTensorFlowPostgreSQLK8s
ChainGO // Head of Development
2019 – 2024

Pioneered AI-driven automation in logistics using microservices. Developed eBL Platform digitizing Bill of Lading via Polygon blockchain NFTs.

PythonNode.jsRubyAWSBlockchainNFT
Agentero // Head of Development
2017 – 2018

Grew team from 1 to 15 engineers. Established K8s infrastructure and built real-time event-driven analytics backend for insurance risk.

PythonRubyKafkaAWSK8s
Vizzuality // Backend Engineer
2014 – 2017

Developed large-scale environmental data APIs and unified diverse datasets via microservices for global research visibility.

PythonRubyPostgreSQLAWS

Education & Expertise

πŸŽ“ ACADEMIC_BACKGROUND
TU Berlin
πŸ“š TECHNICAL_FOCUS_&_RESEARCH

LLM fine-tuning, microservices best practices, and AI architectures.