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hassen8/README.md

Typing SVG


MSc in AI from Uni. Bologna. Previously ML-Research intern at Datalogic in Eugene, Oregon. Worked on edge AI designing an embedding based classifier for an end-to-end produce recognition pipeline, using von-Mises distributions as Mixtures for modeling data that lies on a hypersphere. Improved on previous GMM based classifier by 5% Top-4 Recall.


📍 Bologna, Italy

LinkedIn Kaggle Gmail


Projects

Project What
🔭 AstraGraph GraphRAG for codebases — Neo4j + Qdrant + LangGraph · live demo
🏥 Matryoshka-ICD Automated ICD coding from radiology reports with nested embeddings
⚖️ Emotion Bias Audit Fairness audit of emotion AI against neurodiverse individuals
🌊 Clouded SST U-Net reconstructing cloud-occluded sea surface temperature · 0.48 RMSE
📅 Sports Scheduling Same problem, four solvers: CP · MIP · SMT · SAT

Interests

Graph-RAG   Low-resource Languages   Multimodal AI   ViT   Manifold Geometry


Looking for AI/ML Research or Engineering roles, where the gap between the theory and the applied ML is the problem to solve. Open to anything accross representation learning, multimodal systems, LLM-related , agentic and rag systems.


Stack

Python PyTorch TensorFlow Keras scikit-learn NumPy Pandas HuggingFace LangChain LangGraph OpenCV Docker MLflow W&B MongoDB Neo4j Qdrant Git Linux C++ Java JavaScript


Stats

Stats


Publications

📄 Amharic ATS: Graph-Based vs. Statistical Extractive Summarization · IEEE Xplore 2023
📄 Automatic Extractive Text Summarization for Ho Language · IEEE Xplore 2023

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  1. astragraph astragraph Public

    GraphRAG system that ingests codebases into Neo4j + Qdrant for natural-language querying via hybrid (structural and semantic) retrieval

    Python

  2. sports_tournament_scheduling sports_tournament_scheduling Public

    Sports Tournament scheduling solved via CP, MIP, SMT, and SAT with MiniZinc and Python , fully containerized with automated solution checker

    Python 2

  3. Matryoshka-ICD Matryoshka-ICD Public

    Automated ICD coding system based on PLM-ICD, using Matryoshka Representation Learning (MRL) and Label Aware Attention to predict ICD codes based on text reports.

    Python

  4. emotion_recognition_bias_auditing emotion_recognition_bias_auditing Public

    Fairness audit of emotion recognition AI against neurodiverse individuals using Grad-CAM, LIME, and occlusion sensitivity, grounded in EU Trustworthy AI guidelines

    Jupyter Notebook