People just call me Red

Training Models, Breaking Baselines, Questioning Hyperparameters | AI/ML Engineer by Day, Model Whisperer by Night | Forever Fine-Tuning 🤖

👨🏻‍💻 Spirit animal: A neural network; complex on the inside but makes everything look simple.

🧠 Current obsession: Trying to explain to my models that overfitting is NOT a feature.

👀 Fun fact: I've spent more time debugging tensor shapes than I'd like to admit.

🙃 Favorite Quote: "Know yourself and you will win all battles." — Sun Tzu, The Art of War (also applies to hyperparameter tuning)

📫 Mail: red@nskr.me — send research papers, project ideas, or memes (especially AI memes).

Let's connect and talk AI, ML, or cybersecurity.

Lurking in r/MachineLearning and r/LocalLLaMA.

🔬 Building and fine-tuning machine learning models for real-world applications

🧪 Experimenting with LLMs, computer vision, and deep learning architectures

🛡️ Exploring AI security and adversarial machine learning

🔧 Deploying ML models to production with Docker and cloud platforms

📚 Constantly learning about the latest in transformers, diffusion models, and AGI research

🤖 LLM Fine-tuning & Prompt Engineering - Building smarter AI assistants

🔍 Computer Vision - From image classification to object detection

📊 ML Model Optimization - Making models faster and more efficient

🐧 Linux & Cybersecurity - Because security matters in AI too

🚀 MLOps & Deployment - Taking models from Jupyter notebooks to production

Still scrolling? 🤖

Go train a model already! 🚀 If you want to collaborate on AI projects, discuss research, or just geek out about neural nets, hit me up! 🤝

"Disclaimer: Multiple GPUs were harmed (thermally) in the making of my projects."