
Principal AI Engineer
Hodinová sazba:Na dotaz
Celkové pracovní zkušenosti:8 let
Současný profesní stav: Freelancer
Lokalita: Klasterec Nad Ohri, cz
Ochota cestovat: Jen v místě bydliště
Jazykové znalosti: Angličtina
Kontaktní informace
Odbornost a dovednosti
Senior AI Engineer building production AI systems across generative AI, knowledge graphs, agent workflows, and applied machine learning. Led and delivered AI products spanning editorial automation, customer support, SEO optimization, translation, and telecom network intelligence, with outcomes including 90% lower editor effort, 95% lower translation costs, and 25% higher SEO visibility. Strong background in deep learning, reinforcement learning, RAG, and graph-based systems, with experience taking solutions from research through deployment.
Hlavní dovednosti
Doplňující
Praxe v oboru
- Cestovní ruch a ubytování 1
- IT a telekomunikace 8
- Média 1
Jazykové znalosti
Profesní zázemí a kvalifikace
Pracovní zkušenosti (3)
Sr. AI Enginering
Implemented company wide Knowledge Graph which is being used by several AI and Non-AI services both. Tech Stack : Neo4j, LangGraph, OpenAI, GraphRAG, EDC, opik Partnered with editorial stakeholders to analyze daily workflows and build custom skills/skill-libraries and infrastructure. Leveraging Claude, Open Code, Cursor and Codex to automate repeatable tasks and optimize the publishing process. Guided 5 teams through AI-native transformation, improving AI integration across Future PLC. Decreased editors effort by 90% by deploying AI-powered Buying Guide and fact-checking tools. Tech Stack : Google ADK, OpenAI, MCP, FalkorDB Increased SEO visibility of company websites and brands by 25% using AI SEO optimization. Tech Stack : Neo4j, LangGraph, OpenAI, GraphRAG, EDC Reduced translation costs by 95% by implementing a multi-agent AI translation engine, eliminating third-party dependencies. Tech Stack : Google ADK, OpenAI, MCP
AI Engineer
Increased AI integration in customer services from 35% to 75%. Tech Stack : LangChain, OpenAI, MCP, n8n, custom retool apps, GraphQl, Langfuse Developed AI agents for customer support, improving CSAT from 2.2% to 3.8% (out of 5). Implemented a knowledge graph-based approach to enhance customer service operations. Introduced graph-based upsell and customer recommendation engines. Tech Stack : Neo4j, LangGraph, GraphRAG, Made AI browser automation possible for helping customers to do Check-In, make a booking and so on.
AI researcher/ Engineer
Automated network deployment using a knowledge graph-based LLM RAG. Tech Stack : Apache Fuseki, LlamaIndex, RDF Reduced power consumption in dense 5G networks by 70–80% using dynamic optimization algorithms and a reinforcement learning agent with the actor-critic method. Created an AI pipeline for Open5GCore, managing metric collection, data wrangling, AI model generation, and tracking to optimize beyond 5G performance. Co-developed a P2P network for secure, encrypted distribution and storage of RDF data across multiple nodes. Led the shift to a flexible, 6G-ready AI-enabled management tool, supporting AI/ML-based network management plug-ins and agents. As a core team member of the NEMI (https://www.project-nemi.org), played a pivotal role in the development of a cutting-edge platform designed to manage Beyond 5G Campus Network. Employed deep learning to detect anomalies in 5G systems, improving fault tolerance and user QoS by 25%.
Vzdělání (2)
T U Chemnitz | Chemnitz, Německo
Calicut Universitz | Palakkad, Indie
Další dokumenty (1)
Resume