Become a sponsor to Ganesh Kambli
Hi, I'm Ganesh 👋
I'm a Computer Engineering graduate from Pune, India, passionate about building reliable backend systems, AI/LLM applications, cloud-native infrastructure, and security-focused software.
I enjoy creating production-oriented projects that solve real problems—from agentic GraphRAG systems and semantic plagiarism detection to cloud-native honeypot platforms and secure storage engines.
Some projects I'm proud of
🤖 RepoSage
An offline Agentic GraphRAG system that helps developers understand large codebases using LangGraph, ChromaDB, and local LLMs.
🍯 HoneyCloud
A cloud-native honeypot platform with real-time monitoring and ML-based threat classification, supported by published research.
📚 Semantic Plagiarism Detector
An AI-powered plagiarism detection platform with multilingual support, interactive dashboards, and an active open-source community.
Why sponsor me?
Open source takes time beyond writing code.
Your sponsorship helps me:
- 🚀 Build new open-source projects
- 🛠️ Maintain and improve existing repositories
- 🤝 Review pull requests and support contributors
- 📖 Improve documentation and developer experience
- 💡 Explore AI, backend engineering, cloud, and cybersecurity
Every contribution—whether it's a sponsorship, bug report, pull request, or simply starring a repository—helps me continue building useful software for the community.
Thank you for your support! ❤️
Featured work
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Ganesh-403/Repo-Sage
An autonomous, 100% local Agentic GraphRAG system for codebase intelligence. Paste any GitHub URL or local directory to chat with your code. Powered by LangGraph, NetworkX, and Ollama (qwen2.5-coder).
Python 21 -
Ganesh-403/honeycloud
Honey Cloud is a scalable multi-protocol honeypot platform (SSH, FTP, HTTP, Telnet, SMTP, RDP) built with FastAPI and SQLAlchemy 2. It streams attacks via WebSocket/SSE, detects threats with scikit…
HTML 1 -
Ganesh-403/semantic-plagiarism-detector
A production-ready NLP application that detects semantic plagiarism in student assignments—even when text has been paraphrased—using Sentence Transformers, cosine similarity, and FAISS vector search.
Python 1