I'm an AI Architect & Engineer with expertise in designing and implementing AI-driven systems, integrating machine learning models with wearable devices and multi-system architectures. My background spans backend development, scalable data pipelines, real-time AI processing, and cloud/embedded AI deployments.
I have experience in the medical AI field, developing predictive models and web applications for healthcare professionals.
- Developed end-to-end data pipelines for wearable sensor data.
- Designed AI system architectures for IoT, edge computing, and cloud-based inference.
- Built predictive models and anomaly detection for health monitoring.
- Optimized AI models for embedded devices and cloud environments.
- Implemented MLOps best practices with MLflow and Kubernetes.
Machine Learning Researcher - Prince of Songkla University, Faculty of Medicine (Mar 2025 - Aug 2025)
- Developed machine learning models for medical applications.
- Designed and implemented an AI-driven web platform for clinical decision-making.
- Developed custom applications using Java (Spring Boot) and .NET/C#.
- Migrated data storage systems from file systems to SQL databases.
- Built real-time applications handling high API request loads with Java and GraphQL.
- Information Technology Specialist - Hellenic Air Force (2021-2022)
- Junior & Internship Backend Developer - Logicea (2021)
- PhD Candidate (2025 - Present) - Vision and Language Models for Image Analysis
- Master’s in Artificial Intelligence (2022 - 2024) - 9.09/10
- Bachelor’s in Digital Systems (2017 - 2021) - 8.23/10
- Backend: Java | Spring Boot | REST API | GraphQL | Python | Flask | Django
- Databases: PostgreSQL | MySQL | MongoDB | SQL Server
- Frontend (Basic Knowledge): React | JavaScript
- ML/DL Libraries: PyTorch | TensorFlow | Scikit-learn | HuggingFace
- Visualization: Matplotlib | Seaborn | PIL
- Tools: MLflow | Kubernetes | Docker | CI/CD (AWS, GitHub Actions)
- Cloud: AWS Ecosystem | Cloud-based AI Deployments
- Problem-solving | Leadership | Teamwork | Time Management | Client Communication
- MLOps & AI Deployments for scaling ML models in production.
- Edge AI & Wearable AI Systems.
- Vision & Language Models for multi-modal analysis.
Thanks for stopping by! 😃