• 🔭 I’m currently working on develeping LLM-powered apps using locally deployed open-source LLMs on GPU powered VMs (mistral-nemo is my current go-to)
• 🔭 Current domain: Cybersecurity, Sales Prediction
• 🌱 I’m currently trying to trace and manage my llm prompts.
• 💬 Ask me about Image generation, Machine Learning workflows, retro video games or Bionicle
• 📫 How to reach me: [email protected] or LinkedIn: https://ca.linkedin.com/in/arslankazmi

I also like to tinker with AI related side projects at home. Since I have a background in text-to-image generation systems I've been experimenting with tools like text-generation-webui, llama.cpp, ollama, etc to run AI services locally.

I like getting disparate tools, libraries and languages to interact in interesting ways to build solutions to problems I find intriguing.

• I have a large breadth of knowledge with regards to the fundamentals of AI and deep learning models. I've studied their architectural and mathematical foundations as well
• My unique collaborative degree program trained me to not only think of how AI solutions are created but also why and when not to do so ethically. I believe that if we do not consider the ethical implications of our products we run the risk of loosing long-term benefits in the chasing of short-term financial gain.
• I'm detail-oriented and consider the whole picture and long-term ramifications of anything I design or program. I like to anticipate problems and plan solutions accordingly, especially for deployment scenarios.
• I'm hungry to learn from those who are more experienced than me, and enjoy passing on my knowledge and skills as well.

I've used NetBeans for Java over eclipse and JetBrains IdeaJ. I've used Android Studio for Android App Development. I've used Visual Studio 2010, Visual Studio 2017, Visual Studio 2019, gcc, g++ for C/C++.