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r4stin/README.md

💫 About Me

👋 Hi, I’m Mohammadhossein Akbari Moafi (Rastin), an AI researcher and engineer with a Master's in AI and Robotics from UNIPD.

🤖 I'm passionate about building intelligent systems that create real-world impact and push the boundaries of what machines can do.

🔬 My work spans

  • Computer Vision (segmentation, 3D reconstruction, point clouds)
  • Multimodal & Vision-Language Models (CLIP, BiomedCLIP, VLM-guided pipelines)
  • LLM Systems & Agents (retrieval, evidence reasoning, workflow automation)
  • Medical & Scientific AI (CT, radiology, EEG, scientific analysis tools)

🌱 Always curious and eager to learn, I love collaborating on innovative projects that challenge conventional thinking.

📫 Feel free to reach out via Email or connect with me on LinkedIn.

💻 Tech Stack

Python C++ TypeScript PyTorch TensorFlow scikit-learn NumPy Pandas SciPy OpenCV CUDA LangChain FastAPI PostgreSQL Neo4j ROS CMake Docker AWS Git Anaconda Next.js React


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  1. kg-research-agent kg-research-agent Public

    Evidence-grounded, multi-agent research assistant that performs RAG over scientific papers, extracts structured claims, builds a Neo4j knowledge graph, and answers questions with verifiable citatio…

    Python

  2. reviews-dashboard reviews-dashboard Public

    A full-stack dashboard for aggregating Airbnb/Hostaway & Google reviews, analyzing sentiment and recurring issues, and moderating which reviews appear publicly, powered by Next.js, Supabase, and op…

    TypeScript

  3. Football-Match-Dynamics Football-Match-Dynamics Public

    Analyze football match dynamics through passing networks. Extract player centralities, detect structural motifs, and generate embeddings to reveal team strategies and performance patterns.

    Python

  4. Sport-Video-Analysis Sport-Video-Analysis Public

    Computer vision system for billiard match analysis. Detects playing field, tracks balls, and generates a 2D top-view minimap with positions and trajectories.

    C++ 1 1

  5. provenance-aware-metadata provenance-aware-metadata Public

    Prototype pipeline for provenance-aware metadata: JSON-LD + SHACL validation + C2PA signing

    Python

  6. support-memory-weave support-memory-weave Public

    LLM-powered FastAPI service for structuring unstructured customer-support messages using LangGraph workflows, PostgreSQL long-term memory, local embeddings, and semantic ticket retrieval.

    Python