Kay Hartwich
I’m Kay Hartwich, an Applied AI / Full-Stack AI Engineer based in Sittard with a mechanical engineering background.
About
I’m Kay Hartwich, an Applied AI / Full-Stack AI Engineer based in Sittard with a mechanical engineering background. Since 2023, I’ve been building AI systems end to end—especially LLM and NLP pipelines, machine-learning models, and complete AI products—focused on making solutions reliable in real-world use.
I combine LLM capabilities with deterministic software where control matters, so users get consistent, dependable behavior. I’ve built and deployed production systems (including long-term memory with retrieval, automated workflows, and API-integrated chat experiences), and I’m available for freelance work in applied AI, LLM integration, AI product development, and automation.
- 4 years' experience
- Joined October 2026
Skills· 13
Languages
- DutchFluent
- EnglishAdvanced
Industry experience
- Software & Internet
- Manufacturing
- Financial Services
Work experience· 4 roles
Built an end-to-end full-stack AI platform for a conversational AI guide for personal reflection and decision support. Designed and implemented long-term memory with retrieval by embedding and retrieving relevant user memories to add context to the model. Developed multiple AI workflows for conversations, proactive messages, and personalized reports by combining LLM outputs with deterministic logic for reliability. Created the complete product stack including authentication, Stripe payments, GDPR/privacy features, monitoring, and CI/CD.
Built two self-directed AI systems for the crypto market and delivered them with data pipelines, analysis, automation, and deployment. (1) Sentiment & hype analysis: collected Telegram/Discord messages, performed sentiment analysis using OpenAI API, Hugging Face Transformers and classical sentiment models, and automated alert generation with GPT summaries via a Telegram bot; deployed on Azure with CI/CD. (2) Statistical arbitrage system: built containerized trading services connected to a live exchange using cointegration and Kalman-filter-based approaches; engineered features from market data and trained models with H2O AutoML for live trade decisions using Docker, Redis, and MySQL.
Designed custom robot cells, tooling, and production equipment for clients from concept to delivery, using SolidWorks and Fusion 360. Managed engineering ownership responsibilities while delivering practical mechanical automation solutions.
Education
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