Kauntey Acharya writes Explaining Agents.
About Kauntey Acharya
He works as an AI and automation analyst at an AI training organization, building n8n workflows and evaluating large language model outputs. Before AI, he worked in astrophysics, publishing research on black holes and naked singularities in Physical Review D, Physics of the Dark Universe, the European Physical Journal C, and Universe.
Some of the real projects this blog draws on. An n8n pipeline that scans arXiv daily, filters papers by keyword, routes them through a locally hosted Qwen model via Ollama, and delivers structured research digests via Telegram. A portfolio optimization project comparing thirty techniques across six asset universes using LLM based scoring. A RAG document QA agent that answers questions over a document set using retrieval augmented generation rounds out the list.
Skills
Python, SQL, n8n, Zapier, Streamlit, Plotly, PostgreSQL.
Find him elsewhere
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