👨💼 Stavros Theocharis - Head of Artificial Intelligence | Co-organizer, Patras AI Meetup | Medium Writer
As an accomplished professional leading Innovation & Data Science, I am passionate about advancing the field of Artificial Intelligence. My journey has encompassed roles in research, project management, and technical implementation, leading diverse teams to create innovative solutions in AI, particularly in European Union initiatives and commercial ventures.
My focus over the past few years has been to merge innovation with data science, crafting impactful strategies and pioneering in AI's evolving landscape.
- AI Leadership: Spearheading teams and strategies in AI and data science.
- Diverse Experience: Bridging research, innovation, and practical application in AI.
- Innovation and Research: Leading the charge in applied AI research and cutting-edge solutions.
- Data Pipelines: Proficiency in Kedro, Unit tests, FastAPI, Docker.
- Machine Learning & AI: Expertise in TensorFlow, PyTorch, Timeseries models, Computer Vision models
- Data Analysis: Skilled in Pandas, Numpy, Scikit-learn.
- MLOps: Implementing MLflow procedures.
- Explainable AI: Experienced with Lime, Shap, GradCam, LRP.
- Computer Vision & Segmentation: Advanced skills in image processing and analysis.
- Language Model Systems (LLMs): Developing and implementing cutting-edge language models.
- Contributions:
- Coordinating advanced research and development tasks.
- Implementing sentiment analysis and anomaly detection systems.
- Developing AI models for healthcare and fintech applications.
- Leading computer vision and segmentation projects.
- Innovating in language model systems for various applications.
- LinkedIn: Stavros Theocharis
- Medium: Stavros Theocharis
- AI & Data Science: Deep learning, Predictive modeling, Data mining, Computer vision.
- Project Management: Team leadership, Strategic planning, Agile methodologies.
- Data Engineering: Proficient in Docker, MongoDB, SQL.
- Programming: Skilled in PyTorch, Tensorflow, OpenCV, Streamlit, Scikit-learn, FastAPI.