Uğurcan Uzunkaya
AI and Software Engineer who builds end-to-end products
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Uğurcan is ready for their next project!
Built a Multimodal RAG system live on stream. From zero to working CLI in one session.
The goal: a terminal-based RAG pipeline using Haystack, Gemini Multimodal Embeddings, and Flash Lite, querying complex research PDFs through a conversational loop.
Three real engineering lessons...
3 hours a week onboarding community members. Automated for $0.00/month.
Open Google Sheet. Track contacts. Send emails one by one. Every week.
So I built a serverless pipeline instead.
Every Monday, Cloud Scheduler triggers a Cloud Run Job. It reads new applications, sends...
What started as a terminal script became a full-stack, Dockerized, multimodal AI application. Built live on stream.
The final architecture: FastAPI backend, React 19 frontend, Weaviate vector DB, all orchestrated with a single "docker-compose up --build".
The real upgrades:
True...
Same RAG system. This time we migrated it to a production-ready FastAPI backend. Live on stream again.
Three upgrades that actually matter:
In-memory storage is dead. Replaced with Weaviate running in Docker. Embeddings now persist across restarts.
No more blocking. The /api/embed...
I implemented different optimization models and use metaheuristic (VNS) enchacement to see how the algorithms change the accuracy and other metrics.
