Sebastian Schkudlara-AI Engineer
Experience
AI Engineer
Babel Group
- Developed RAG-based AI solutions integrated with enterprise data infrastructure for high-accuracy responses.
- Optimized LLM performance, reducing latency and cost with fine-tuned AI models.
- Built NLP pipelines for summarization, entity extraction, and sentiment analysis, enhancing automation workflows.
Freelance Developer | Product Architect
TRAYLINX
- Architected and engineered an AI request-routing proxy, dynamically selecting models based on cost, latency, and performance.
- Unified API integrations across leading LLM providers (OpenAI, Anthropic, Google AI Studio, Mistral, Hugging Face) and custom local models, optimizing cost-efficiency by 30%.
- Designed and built an open-source protocol replacing traditional CVs with AI-agent-readable Skill Cards, enabling candidates to own and control their career data.
- Engineered a multi-agent recruitment platform using a resilient, event-driven architecture built on AWS SNS/SQS.
- Built a marketplace for autonomous AI agents specializing in data analysis, content generation, and multi-step workflow automation.
- Designed RAG-based systems to reduce hallucinations and increase accuracy in complex retrieval tasks.
- Developed an advanced data ingestion tool feeding RAG pipelines and AI agents by integrating headless Chrome, OCR, and Vision AI to convert URLs, PDFs, and unstructured documents into clean, agent-readable Markdown and specialized AI Skill Bundles.
- Developed a production-grade Ruby Gem for Google's Agent-to-Agent protocol, supporting JSON-RPC 2.0, gRPC, and OAuth 2.0/JWT/mTLS security layers.
- Designed a high-security authentication microservice supporting social logins, 2FA/OTP, and specialized Agent-to-Agent flows with AES-256-GCM encryption.
Deeptech AI Specialist
Monodon (Navantia)
- Architected and implemented advanced retrieval-augmented generation (RAG) systems for Navantia's deeptech innovation unit, enhancing data retrieval accuracy for strategic R&D projects.
- Led model fine-tuning initiatives for specialized AI applications, optimizing performance for complex, high-stakes industrial use cases.
- Collaborated with cross-functional teams to integrate AI solutions into Navantia's core technology stack, driving innovation in maritime and defense sectors.
Head of Development
ChainGO
- Pioneered AI-driven automation in logistics and shipping, reducing operational inefficiencies.
- Built microservices-based document processing system (docBlox), integrating AI and blockchain.
- Developed the eBL Platform to digitize the Bill of Lading process using Polygon blockchain.
- Implemented ForestChain Digital Passport, a blockchain system for forest product traceability.
Head of Development
Agentero
- Grew development team from 1 to 15 engineers and established Kubernetes-based infrastructure with CI/CD pipelines.
- Built real-time event-driven analytics for insurance risk analysis, delivering a scalable backend.
Backend Engineer
Vizzuality
- Developed environmental data APIs for large-scale data visualization.
- Unified diverse datasets with a microservices-based architecture, improving data accessibility globally.
Industry Experience
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Experienced in Information Technology, Transportation, Aerospace and Defense, and Insurance.
Business Area Experience
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Experienced in Information Technology, Product Development, Supply Chain Management, Research and Development, and Business Intelligence.
Summary
Senior Backend Architect turned Agentic Al Infrastructure specialist - 19+ years building distributed systems, now designing the tools and protocols that make autonomous Al agents work in production: routing proxies, P2P agent networks, A2A communication layers, and RAG pipelines engineered for scale.
Proficient in Kubernetes, AWS/GCP, FastAPI, LangChain, PydanticAI, RAG workflows, Python-based Al frameworks, and Ruby on Rails API development to deliver robust, cost-effective, and scalable platforms.
Skills
Core Tech
- Ruby (Rails)
- Python
- Fastapi
- Postgresql
- Redis
- Typescript
- Node.js
- React
Ai & Data Architecture
- Agentic Al Architecture
- Microservices
- Multi-agent Orchestration
- Tool Calling & Routing
- Mcp
- Langchain
- Pydantical
- Event-driven (Kafka/rabbitmq)
- Kubernetes
- Docker
- Aws
- Gcp
- Prompt Engineering
Special Abilities
- Hyper-productivity: Rapid Prototyping, Tdd, & Deployment
- Team Buff: Mentorship, Team Building, & Technical Leadership
Toolbelt & Inventory
- Databases: Mongodb, Neo4j, Mysql, Sqlite, Memcached, Elasticsearch
- Devops & Scripting: Bash/shell, Ansible, Terraform, Github Actions, Prometheus, Grafana
- Al Frameworks: Langchain, Langgraph, Pydanticai, Hugging Face, Openai Api, Anthropic Api, Gemini Api
- Architecture: Rest, Graphql, Grpc, Json-rpc, Oauth 2.0, Websocket
- Blockchain (Secondary): Polygon, Ethereum, Solidity, Hyperledger, Hedera, Chainlink, Stellar
Core Competencies – Al & Agentic Development
- Llm Integration: Openai, Anthropic, Google Al Studio, Mistral, Deepseek, Alibaba Cloud, Nvidia Nim, Hugging Face, Open Source And Custom Models Including Local Models Environments
- Rag Pipelines: Retrieval-augmented Generation For High-accuracy Al Responses
- Al Orchestration: Agent-based Automation With Pydanticai, Langchain, Hugging Face, And Custom Multi-agent Systems
- Vector Databases: Pinecone, Chromadb, And Pgvector For Semantic Search And Al Memory
Core Competencies – Microservices & Devops
- Cloud & Containerization: Kubernetes, Docker, Terraform, Aws, Gcp, Azure
- Event-driven Systems: Kafka, Rabbitmq, Aws Sqs/sns, Pub/sub, Sidekiq, Shoryuken
- Ci/cd & Infrastructure As Code: Automated Deployments With Github Actions, Comprehensive Observability (Prometheus, Grafana)
Core Competencies – Backend Engineering & Data
- Api Development: Fastapi, Ruby On Rails, Restful, Graphql, Grpc & Json-rpc Apis
- Real-time Data Processing: Redis, Memcached, Streaming Analytics
- Database Expertise: Postgresql (With Pgvector), Mongodb, Neo4j – Optimized For Al And Event-driven Workloads
Core Competencies – Leadership & Consulting
- Engineering Team Scaling: Agile Methodologies, Sprint Planning, Remote Collaboration
- Al Strategy & Consulting: Al-driven Automation, Business Intelligence Integration
- Mlops & Model Lifecycle Management: Continuous Retraining, Performance Optimization
Languages
Education
TU Berlin
Berlin, Germany
Statistics
Experience
Global Experience
Expertise
Profile
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