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Year
2024
Tech & Technique
Python, Local LLMs (Llama/Mistral), LangChain, Cybersecurity, Offline NLP
Description
A locally hosted, hyper-secure chatbot designed for privacy-critical environments. This project eliminates reliance on external APIs (like OpenAI), ensuring zero data leakage.
Key Features:
Key Features:
- 🔒 100% Local: Runs entirely offline with no external API calls.
- ⚡ Low Latency: Optimized local inference for rapid response times.
- 🗣️ Native Language Support: Fine-tuned for local dialects and languages often missed by big models.
My Role
AI Security Engineer
- Implemented local LLM inference engines to bypass third-party APIs.
- Optimized model quantization to run efficiently on consumer hardware.
- Focused on "Sovereign AI"—giving users complete control over their data and model weights.
- Implemented local LLM inference engines to bypass third-party APIs.
- Optimized model quantization to run efficiently on consumer hardware.
- Focused on "Sovereign AI"—giving users complete control over their data and model weights.