On AI Lounge since Nov 2026
Natnael Tilahun
Member #3,969DeveloperL2Developer, Independent
Builds Adey · A scalable SaaS platform letting businesses upload documents and deploy an AI chatbot for
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Plugged In ×3Connected sources: GitHub, Hugging Face, LinkedIn, X, website.How: Connected 3 sources (GitHub, LinkedIn, X or a website) in Settings
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Pinned projects
A scalable SaaS platform letting businesses upload documents and deploy an AI chatbot for instant, document-based responses. Built with Python (Django) and PostgreSQL, it uses Retrieval-Augmented Generation (RAG) for accuracy. Deployed on AWS ECS .
Generating Parallel algorithms using LLM
About
Natnael Tilahun works as an independent developer in Warsaw, Poland, and builds Adey, a SaaS product that helps companies turn uploaded documents into an AI chatbot for quick, document-based answers. Their personal site describes more than two years of backend engineering with Python, Django, FastAPI and AWS. Recent work includes llm-parallel-bench, which explores generating parallel algorithms with large language models.
