XCurOS

🚀 Core Technical Interests LLM Optimization & Quantization: Focus on making large models run efficiently on consumer hardware (GGUF, AWQ, EXL2). Efficient Fine-Tuning (PEFT): Specialized in LoRA and QLoRA techniques for domain-specific adaptation. Model Evaluation Frameworks: Building robust pipelines to measure LLM performance beyond basic benchmarks. On-Device AI: Deploying high-performance models for edge computing and local environments. 📈 Specialized Domains Algorithmic Trading & Time-Series: Applying Transformers and GRUs to financial markets and predictive signaling. Agentic Workflows: Designing autonomous AI agents that can navigate complex multi-step tasks. MLOps & Scalable Infrastructure: Optimizing Dockerized environments for seamless model serving and CI/CD. ✨ Minimalist "Bio" Style If you prefer a clean, "Next.js-style" aesthetic for your profile, try a bulleted list with emojis: ⚡ High-Performance Inference (A100/H100 Optimization) 🧠 Fine-Tuning 8B+ Models (Llama, Mistral, XCurOS) 🌐 Full-Stack AI Integration (Next.js + FastAPI + Docker) 📊 Neural Time-Series Analysis