Identity: Mohammad Davoud Vahhab Rajaee (MDVR)Focus: Applied Artificial Intelligence & Intelligent SystemsCore Disciplines:
- Large Language Models & Knowledge Distillation (QLoRA, Fine-Tuning, CoT)
- Autonomous Multi-Agent Frameworks & Automation Workflows
- Advanced Computer Vision & Deep Learning (Image Restoration, CNNs, Frequency-Domain)
- Production AI Backends (FastAPI, Vector DBs, ChromaDB, Microservices)Philosophy: "Transforming complex neural architectures into robust production-grade solutions."🧠 Deep Learning, Computer Vision & Data Science
⚡ AI Backends, Vector DBs & Deployment
💻 Systems, Languages & Developer Tools
Enterprise-grade Knowledge Distillation framework. Distilled reasoning capabilities from Llama-3-70B into a local Gemma-1B model using QLoRA & synthetic Chain-of-Thought datasets. | High-precision Persian emotion annotation pipeline powered by Llama 3.3 70B (via OpenRouter), featuring text normalization and batch CoT reasoning. |
Autonomous AI Agent powered by NVIDIA NIM (Mistral Large 3) for discovering AI trends, drafting multi-slide posts, and generating visuals. | AI-Powered Real Estate CRM and operating system built with FastAPI, Gemini, ChromaDB Vector DB, WebSockets, and Playwright. |
Frequency-aware image denoising using UNet architectures and Focal Frequency Loss with detailed spectrum visualization and analysis. | Deep CNN-based real-time facial expression recognition system detecting 7 emotions with dynamic OpenCV filter pipelines. |

