I'm a forward-thinking technology architect specializing in Business Intelligence and Artificial Intelligence solutions. With over a decade of experience spanning full-stack engineering, data modeling, and platform architecture, I transform complex data challenges into scalable, cost-efficient systems. My work bridges enterprise reporting, cloud-native integrations, and autonomous analytics platforms—always with a focus on clarity, performance, and impact.

• 🎓 MSc in Artificial Intelligence, Big Data & Analytics
  University of Piraeus, 2020–2022

• 🎓 BSc in Computer Science, Intelligent Systems & Software Technology
  University of Piraeus, 2010–2014

• 🎓 High School Diploma in Positive Sciences
  General High School of Markopoulo, 2006–2009

• 🤝 Enable teams and individuals to effectively adopt AI by providing deep guidance on APIs, models, agents, IDEs, and emerging capabilities
• 🛡️ Establish and communicate AI usage, token-consumption, and data-security policies to ensure responsible and compliant transformation
• 💡 Identify and integrate AI opportunities across products, workflows, and SDLC processes to enhance efficiency, innovation, and business value
• 🎛️ Engineered custom-self-service AI with budgets, controlling, monitoring and central governance, finetune domain-specific models, generating instruction datasets and implementing MCP servers from scratch for custom platforms

• 🧠 Coded a comprehensive cloud data-factory platform (Back-Office Tool) enabling real-time analytics with seamless production-to-warehouse data flow, and a reporting platform with Power BI Embedded (Front-Office Tool) featuring a KPI Insights Agent (uses AI)
• 🔐 Coded a universal Anonymization Tool for secure demo / testing purposes (uses AI), and a Documentation Tool integrating Confluence, JIRA, ADO, GIT, SharePoint, and files via language models, providing MCP integration for other tools (uses AI)
• 📊 Transformed traditional reporting into a dynamic, self-optimizing analytics platform by leveraging autonomous AI agents and custom visualization tools, empowering proactive, context-aware decision-making
• 🧑‍🤝‍🧑 Led the BI & AI team, actively contributing to SQL Server and PostgreSQL communities, and maintained GitHub/PyPI packages for data management

• 📊 Enhanced reporting capabilities using machine learning models and custom Power BI visuals, delivering decision-driving insights
• ⚡ Revitalized the data loading application for a corporate reporting solution, significantly enhancing performance through EzApi and new NAV GUID-based data models
• 🧭 Guided a high-performing development and design team, ensuring alignment with business objectives and adherence to a strategic product roadmap

• 🧱 Crafted robust data models tailored to both relational and analytical needs using Microsoft SQL Server and Azure
• 📊 Enhanced ETL processes and developed dynamic reports with Microsoft Reporting Services and Power BI, serving the needs of major automotive clients
• 🔗 Provided expert consultations and unified internal systems through bespoke reporting solutions

• 🔐 Built, optimized, and secured internal administration software, managing sophisticated database designs and performance-critical enhancements.

• 🌐 Inspired, designed and developed tailored websites for retail clients, leveraging open-source platforms and leading collaborative redesign initiatives.

• 🖥️ Enhanced user-friendly applications for retail, emphasizing efficient project management and enhanced user experience.

• 🧩 Supported system migrations, integrated third-party controls, and handled project documentation to ensure smooth software development processes.

• 🛠️ Delivered custom solutions across diverse markets, providing comprehensive training and support while making critical project decisions under pressure. 3 desktop apps, 18 websites, 4 android apps, 5 windows phone apps, 2 open-source libraries, 2 GenAI libraries

• 2025 – Barebones GPT-style implementation in pure Python, zero dependencies | minimal transformer architecture
• 2022 – Automated Machine Learning with Sampling Techniques | AutoML optimization, data preprocessing strategies | Link
• 2021 – Comparison of Machine Learning Methods for Predicting Vehicle Opportunities | Predictive analytics in automotive sales | Link
• 2021 – Comparison of Machine Learning Methods for Predicting Service Opportunities | Classification models for service forecasting | Link
• 2021 – Comparison of Machine Learning Methods for Predicting CRM Opportunities | Regression and clustering in customer relationship management | Link
• 2016 – Session Hijacking and Techniques | Network security, vulnerability exploitation
• 2015 – Recommendation Systems and Techniques | Collaborative filtering, ranking algorithms

• 2025 – 4A94F7-03BRD7 - Fabric Analytics Engineer Associate
• 2025 – 34DAC1-95AID2 - Fabric Data Engineer Associate
• 2021 – C9121D-EE4704 - Azure AI Engineer Associate
• 2020 – F116E3-44D4D2 - Azure Administrator Associate
• 2020 – B5E698-67SA18 - Azure Data Scientist Associate
• 2019 – H219-5454 - MCSA in BI Reporting
• 2018 – G907-5319 - MCSE in Data Management & Analytics
• 2018 – G840-2196 - MCSA in Business Intelligence Development
• 2018 – G797-7541 - MCP in Microsoft Certified Professional

• Greek – Native
• English – Good Knowledge

Welcome to a curated showcase of my most recognized and impactful projects. This portfolio reflects over a decade of hands-on engineering, architectural design, and innovation across diverse industries—from enterprise data platforms and autonomous reporting systems to desktop, mobile apps and full-stack web solutions.

Thanks for visiting my profile! Feel free to explore my repositories or reach out for collaboration.