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andreas-pattichis/README.md

👨‍💻 Andreas Pattichis

LinkedIn Email GitHub

🚀 About Me

🔬 Currently: AI Research Intern @ UNICEF Giga Initiative
February 2025 – Present
• Conducting Master’s Thesis (mapping infrastructure in underserved regions)
🎓 MSc in Artificial Intelligence: Fully-funded Scholarship @ EMAI
Expected graduation: July 2025
• Universitat Pompeu Fabra (UPF), Barcelona: 2023, 2024–2025
• Radboud University (RU), Nijmegen: 2024
• Completed EMAI AI Summer School at UCL, London: July 2024
🖥️ BSc in Computer Science: @ University of Cyprus (UCY)
2019–2023
• Specialization in Artificial Intelligence
• Thesis: "Accelerating Quality-Diversity Algorithms using K-Means Clustering"

💡 Research Interests

Deep Learning Computer Vision Explainable AI
Reinforcement Learning AI Agents NLP Applied ML

🌟 Some of my Recent Projects

🐄 CalvAlert: AI-Driven Calving Monitoring System

Leading development of a computer vision solution to monitor calving stages in real-time, alert farmers of critical events, and improve farm efficiency. Collaborating directly with farmers to address real-world agricultural challenges.

🐕 Puptics: Veterinary Diagnostic AI for Dog Eye Condition Detection

Currently developing a computer vision system that detects and segments dog eye conditions, providing immediate diagnosis and treatment recommendations. Combines instance segmentation with expert diagnostic reccomendations to identify conditions like cataracts, glaucoma, and conjunctivitis.

🧬 RNA-Seq Disease Classification for Biomarker Discovery

Created a machine learning pipeline achieving 93% accuracy using SGDClassifier with Elastic Net Regularization. Focused on dimensionality reduction and identifying significant genes contributing to disease classification, offering insights into potential biomarkers.

🤖 Conversational Agent for Travel Recommendations

Developed an intelligent dialogue system using the MultiWOZ dataset from Hugging Face. Implemented NLP techniques including Dialogue Act Identification, Information Extraction (Slot Filling), and strategic planning to create a responsive agent for restaurant and hotel recommendations.

Interested in learning more about these or my other projects? Feel free to reach out!

🏆 Competition Participations
  • AIMI2024 Grand Challenge (LUNA23) - Lung cancer detection using advanced deep learning models
  • PlantTraits2024 Kaggle - One of the top-ranking positions for plant trait prediction
  • Harmful Brain Activity Classification Kaggle - Ensemble approach for seizure detection
  • EUTOPIA Pacman CTF - AI agents with Q-learning and Bayesian inference

Typing SVG

Open to collaboration and opportunities in AI. Connect via LinkedIn or Email.

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  1. ML-for-RNA-Seq-Disease-Classification-and-Biomarker-Discovery ML-for-RNA-Seq-Disease-Classification-and-Biomarker-Discovery Public

    This project develops a machine learning model to classify individuals as healthy, having rheumatoid arthritis (RA), or systemic lupus erythematosus (SLE) using RNA-Seq gene expression data. The pr…

    Jupyter Notebook 1

  2. Anomaly-Detection-using-Negative-Selection-Algorithms Anomaly-Detection-using-Negative-Selection-Algorithms Public

    Jupyter Notebook

  3. bodyct-luna23-ismi-trainer bodyct-luna23-ismi-trainer Public

    Final project study for Artificial Intelligence in Medical Imaging course (Group 9).

    Jupyter Notebook 2

  4. Contest-Pacman-Capture-the-Flag-EUTOPIA Contest-Pacman-Capture-the-Flag-EUTOPIA Public

    Python

  5. FoodExc-Food-Recipe-Android-Application FoodExc-Food-Recipe-Android-Application Public

    Forked from nstavr04/FoodExc

    FoodExc is a food recipes app where Exchange students can find out about various international cuisines and try out some recipes themselves!

    Kotlin

  6. TutorFinder-Tutor-Finding-iOS-Application TutorFinder-Tutor-Finding-iOS-Application Public

    TutorFinder is a convenient mobile application developed to make the process of finding and registering with a tutor as simple as possible.

    Swift