Identity: Mohammad Davoud Vahhab Rajaee (MDVR)
Focus: Applied Artificial Intelligence & Intelligent Systems
Core 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."๐ง Deep Learning, Computer Vision & Data Science
โก AI Backends, Vector DBs & Deployment
๐ป Systems, Languages & Developer Tools
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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. |
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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. |
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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. |

