Scouting report
AI engineer building RAG/LLM agents with LangGraph
assessed from open-source footprint
Nazgul targets modern LLM systems — a conversational agent with short- and long-term memory and guardrails built on LangGraph, ChromaDB, Redis and Ollama — with 174 commits last year as solo author across Python, Jupyter and R. Visibility is the limiter: low stars, no deployed apps, and no external contributions to corroborate scale. A focused, current RAG/ML engineer whose agent and retrieval work is worth a technical deep-dive.
Authorship & open source
What they build
Industry experience
- Data, ML & AI
- Education & EdTech
- Productivity & SaaS
Signal breakdown
5
top repo 5
19
10% forks
5
9 yr
0
Active
26% stale
Strengths
- Verified author — wrote 100% of commits on nazgult
- Original builder — 19 of their own repositories
- Consistently active, low abandonment
- Data / ML focus with Backend
- Domain experience in Data, ML & AI & Education & EdTech
- Core stack: Python, Jupyter, R, Rebol
About
Skills
- Python
- Jupyter
- R
- Rebol
- Gradio
- Huggingface
- Langchain
- Rag
Featured work
nazgult
My personal repository
- Code
by Nazgul Sagatova
Conversation Agent With Memory
Multi-turn conversational agent with short-term and long-term memory and guardrails using LangGraph, ChromaDB, Redis and Ollama.
- Python
by Nazgul Sagatova
Slm Evaluation Dashboard
A small language model (SLM) evaluation dashboard that runs entirely offline using Ollama as the local inference backend. It benchmarks multiple smal…
- Python
by Nazgul Sagatova
Rag Assistant
Production-ready modular Retrieval-Augmented Generation (RAG) System built using Python, Hugging Face models and ChromaDB. Evaluated against RAGAS me…
- Python
by Nazgul Sagatova
Rag Youtube Summarizer
AI-powered YouTube video summariser and Q&A implemented using LangChain, FAISS and Hugging Face's google/flan-t5-base.
- Python
by Nazgul Sagatova
Rag And Agentic Ai
repository for Agentic AI apps
- Jupyter
by Nazgul Sagatova