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Building practical AI applications with RAG & LLMs
I’m an AI & Data Science Engineer focused on building AI solutions that turn real-world problems into practical, working applications.
Some of the projects I’ve been working on include:
• Multipurpose Chatbot — An AI-powered RAG assistant designed for knowledge-based conversations.
• BME_Bot — A chatbot project built around LangChain and retrieval-augmented generation.
• Sentiment Trend Reader — An AI/data project focused on analyzing text, sentiment, and trends.
My current focus areas include:
→ RAG chatbot development
→ LLM integrations
→ Prompt engineering & AI workflows
→ Python-based AI and data solutions
→ AI-powered automation
I’m open to collaborating on AI projects, chatbot development, and LLM-powered applications.
More about my work is available on my profile.
#AIEngineering #GenerativeAI #RAG #LLM #LangChain #Python #AIApplications
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The video above is a compilation of some of the scenes we developed for the project.
The creative challenge was to explain a very technical difference in a way that felt simple and visual: comparing a traditional retrofit construction process with a ventilated façade system, which can reduce the number of workers needed on site by up to 60%.
Tecnofas is the kind of client that really enjoys experimenting with new visual languages, so we had a lot of freedom to explore the concept, test ideas and push the AI workflow beyond a standard corporate animation.
That freedom made the process especially enjoyable. Instead of using AI only to make production faster, we used it to create a visual style that would probably never have been the obvious choice for this kind of industrial communication.
I wrote a grimoire for human–AI interaction.
The Interaction Grimoire is a 207-folio exploration of interaction design, AI behavior, delegated agency, permission, memory, trust, feedback, error, and human authority, written through the language of ritual technology.
The premise is simple: an interface is not decoration. It is the threshold where human intention becomes machine action.
Buttons become sigils. Permissions become wards. Agents become delegated hands. Receipts become seals. State becomes memory. And good interaction design becomes the law that determines what may cross between human and machine.
Beneath the occult visual language is a practical systems question I keep returning to:
How do we give increasingly autonomous machines useful agency without making human authority invisible?
This work is part interaction design, part AI behavior design, part systems architecture, and part visual worldbuilding.
THE ROSE REMEMBRETH.
THE CIRCUIT OBEYETH.
THE CROSSING JUDGETH.
crossingkey_
intelligence is the standard.
What happens to your pottery between studio visits?
Loam is an original, fictional mobile-app concept. A dated firing journey makes each piece's status visible; a pickup card keeps the time and shelf location together.
My shelf → Piece journey → Collection confirmed.
Would you want a photo at each firing stage?