Self Taught Developer💻👾💾
Working on this project taught me a lot about efficiently parsing JSON from APIs, which was crucial for interpreting data from my local LLM instance. I parsed APIs in OpenAI format to make it possible for my console application to communicate with my local LLM server. I also learned how to optimize LLM performance on my local hardware to speed up query processing. Additionally, setting up and fine-tuning my Snort Intrusion Detection System (IDS) rules helped me reduce false positives. I also used Docker to easily set up a Milvus standalone database to connect with my application. All of these steps were necessary to accomplish my goal of being able to generate real-time reports leveraging AI on Alert Logs files and ask questions about the alert logs in natural language.
This was a fun weekend project, inspired by my past experiences customizing my Myspace page during an earlier era of social media. I was able to learn a lot about reactive web design. This was developed using Svelte, my preferred front-end framework.
Data Recovery is a Python-based command-line tool designed to recover deleted files from various storage devices. Utilizing byte-level scanning, it identifies files based on their unique signatures, offering a chance to restore files that have been inadvertently deleted or lost.