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Achievement: YOLOAchievement: Pull Shark

Achievements

Achievement: YOLOAchievement: Pull Shark

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vasilistsavalias/README.md
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I’m an AI Researcher and MSc Candidate in AI & Data Analytics at the University of Macedonia. I build applied ML systems for EU-funded research projects. Or I could skip all this intro and just say I am a vibecoder with extra steps.

  • 🎓 Current focus: building AI systems across Agentic AI (LangGraph), chatbots, synthetic data generation (GANs, TVAE), Predictive Modeling, Diffusion Models (LaMa, MAT, Stable Diffusion), MLOps, Full Stack (Next.js, FastAPI, Tailwind, PostgreSQL, Render, Vercel, ...)
  • 🔬 Research: Researcher at Datalab (AUTH), currently engineering AI for Skillscapes (Greece 2.0). Lead author of a GDM diagnosis framework (under review at ACM JDIQ)
  • 🏫 Education & Outreach: AI Education Consultant for Axion Schools. Designed a 5-year AI curriculum (ages 10–15), covering Ethics, Scratch → Teachable Machine → Python
  • 🤝** Leadership:** Former Coordinator for the IEEE Student Branch. Mentored 40+ students in Python and competitive programming

Interests: Socializing, camping, singing, guitar, history, gaming, movies, board games, and beers. Cant forget the beers.

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  1. conductor_for_codex conductor_for_codex Public

    A port of the popular Conductor extension for context-driven development to Codex.

    PowerShell 15 2

  2. PREGSAFE PREGSAFE Public

    A full-stack MLOps platform for predicting the risk of Gestational Diabetes Mellitus (GDM)

    Python 2 1

  3. master_thesis_uom_aid25006 master_thesis_uom_aid25006 Public

    End-to-end Deep Learning pipeline for Ancient Greek artifact restoration using Stable Diffusion. Features a modular architecture, automated Wikimedia data acquisition, and strict experiment tracking.

    Python 1

  4. Vocal-Extraction-from-Complex-Audio-Mixtures Vocal-Extraction-from-Complex-Audio-Mixtures Public

    THESIS: Developed a hybrid model combining Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks to isolate vocals from complex audio mixtures.

    Jupyter Notebook 2

  5. AI-Powered-Fire-Surveillance-for-Greece-Real-Time-Wildfire-and-Smoke-Detection-using-Neural-Networks AI-Powered-Fire-Surveillance-for-Greece-Real-Time-Wildfire-and-Smoke-Detection-using-Neural-Networks Public

    The proposed system proposes three pretrained CNN models (ResNet50,Inception V3,Xception) on the ImageNet dataset, used to classify images as either fire or non-fire, as well as a YOLOv8 model for …

    1 1

  6. text-2-image-generation-using-custom-DCGAN text-2-image-generation-using-custom-DCGAN Public

    Developing and training a custom DCGAN model for text-to-image synthesis using the Microsoft COCO 2017 dataset.

    1 1