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nepiskopos/README.md

πŸ‘‹ Greetings visitor, I'm Nicholas and I am a Data Scientist and Software Developer!

πŸŽ“ Data Scientist | Software Developer | R&D Engineer
πŸ“ Athens, Greece
LinkedIn
GitHub


πŸ’Ό About Me

I'm a Data Scientist and Software Developer with 8+ years of experience delivering end-to-end solutions across commercial and EU-funded R&D projects. I specialize in Large Language Models (LLMs), Generative AI, and AI-driven systems in domains like Healthcare, Cybersecurity, and Banking.

Currently at IBM, I design and deploy LLM-based chatbot solutions tailored to banking clients using tools like Docker, Azure, and RAG architectures.

I am deeply passionate about how AI and Data Science shape the future β€” both technologically and socially β€” and how they can be responsibly applied for meaningful impact.


πŸ“Š GitHub Stats

Nicholas's Stats
Nicholas's Streak
Nicholas's Top Languages


πŸ”§ Tech Stack & Tools

  • Languages: Python, C#, Java, SQL, Bash
  • AI/ML: LangGraph, LangChain, TensorFlow, Keras, Scikit-learn, PyTorch
  • Cloud: Microsoft Azure, OpenStack, Docker
  • Web: FastAPI, REST APIs, Flask
  • DevOps: Git, GitHub Actions, Azure Pipelines, Linux
  • Data: Pandas, NumPy, Matplotlib, Seaborn, PowerBI, Tableau
  • Other: RAG, LLMs, GenAI, Federated Learning, Edge AI

πŸš€ Highlight Projects

  • πŸ’¬ LLM-Powered Chatbot Frameworks – Designed custom LLM chatbot solutions using RAG and LLM fine-tuning for clients like the National Bank of Greece.
  • 🧠 Federated Intrusion Detection Toolkit – Developed MetaMind’s Federated Learning Security Toolkit for anomaly and intrusion detection in SCADA systems and EV charging hubs.
  • πŸ“ˆ AI Tools for Raw Materials Discovery – Built AI pipelines to estimate critical raw material concentrations and identify potential lithium extraction sites from brine reservoirs.
  • πŸ“Ί P2P Video Optimization – Engineered a D2D video delivery system using Blockchain and Smart Contracts, published in IEEE Transactions on Vehicular Technology.

πŸ“š Publications


🧩 What I’m Working On

  • Open-source LLM integrations with real-time data via RAG
  • Lightweight, containerized AI solutions for constrained environments
  • Privacy-preserving AI systems for sensitive domains

🀝 Let’s Connect

Feel free to explore my repositories or connect with me on LinkedIn. I’m always open to discussions on AI, research collaborations, or innovative tech initiatives.


Popular repositories Loading

  1. simple_ids_with_tff simple_ids_with_tff Public

    Training of a simple Neural Network model as an Intrusion Detection System for Cybersecurity defense using Federated Learning with the TensorFlow Federated framework.

    Jupyter Notebook 17 6

  2. simple_ids_with_flwr_iec104 simple_ids_with_flwr_iec104 Public

    Training of a simple Neural Network model as an Intrusion Detection System for Cybersecurity defense using Federated Learning with the Flower framework.

    Jupyter Notebook 16 2

  3. image-classification-textural-features image-classification-textural-features Public

    Pattern recognition image classification using textural features.

    MATLAB 2 1

  4. children_privacy_protection children_privacy_protection Public

    Forked from snikolakis/children_privacy_protection

    Machine learning pipeline for hiding small children faces in pictures to conceal their identity and protect their privacy.

    Jupyter Notebook 2

  5. dense-vs-cnn dense-vs-cnn Public

    Fully-connected vs Convolutional neural networks for multi-class image classification

    Jupyter Notebook 1

  6. yoloface yoloface Public

    Forked from sthanhng/yoloface

    Deep learning-based Face detection using the YOLOv3 algorithm (https://github.com/sthanhng/yoloface)

    Python 1