Hi there! I'm Ioannis (Yannis) Vasilopoulos. I specialize in Edge Computing and AI technologies and solutions. Currently, I work as an AI/ML Engineer at the Siemens HQ of the Production Machines Application Center in Prague. I am responsible for implementing AI customer projects and pre-sales consulting as well. My expertise spans various technologies, including software development, machine learning, Docker, REST APIs, and industrial communication. Passionate about sharing my knowledge, I have offered numerous workshops and presentations at industry events, while fostering strong relationships with stakeholders in R&D, marketing, and product management. I am dedicated to helping businesses unlock the full potential of edge computing and AI technologies to drive efficiency and growth.

You can read more about me and my projects here

• Machine Learning & AI: TensforFlow, scikit-learn, OpenVINO, MLFlow, Cloud and Edge AI deployment
• Cloud computing: Azure ML
• Edge Computing: Siemens Industrial Edge, IIoT, architecture Edge Computing solutions
• Software Development: Python, JavaScript, Bash, SQL, Docker, FastAPI, Postman
• Data Communication: MQTT, REST, OPC UA, SIMATIC S7
• Management: Leading technical teams, Leading projects, resource allocation, budget planning, agile methodologies.

• Develop computer vision neural networks for production machines, including tracking experiments, conducting unit testing, optimizing, creating inference API endpoints, and deploying.
• Ensure seamless integration of models into production environments. Develop and optimize GitLab-based CI/CD pipelines adhering to MLOps principles.
• Develop demos and workshops to empower regional departments in driving successful AI initiatives.

• Led a global team of technical consultants supporting Edge Computing and AI customer projects. Managing pre-sales activities, resources, and coordinating across Germany, Czechia, Austria, and Singapore.
• Evaluated Edge AI customer projects. Deployed Edge AI solutions for pilot projects. Designed and supervised non-functional requirements testing.
• Acted as the go-to technical expert and architect for the Industrial Edge Playground platform (SaaS). Co-driven the user journey design and translated business needs into technical solutions.
• Collaborated with cross-functional teams (Product Management, Software Engineers, Marketing, Sales) to ensure a successful product go-to-market strategy.
• Presented Industrial Edge and AI solutions at major industry fairs such as Hannover Messe, SPS, and Siemens Technical Consultants Conference. Communicated product information across EMEA, AM, and APAC regions.

• Designed and implemented machine learning classification algorithms to predict drug solvation/hydration propensity. Collected and curated drug substance data, and trained Decision Tree and Logistic Regression models for this purpose.
• Developed deterministic mathematical models and combined them with Molecular Dynamics simulations to study the desolvation of pharmaceuticals.
• Analyzed complex datasets using Python to extract meaningful insights and support research hypotheses.
• Managed various research projects, including allocating budgets (salaries, equipment, software), planning research activities, and writing reports.
• Authored or co-authored three research papers and presented findings at various international conferences, such as the American Physics Society, EuroHPC Summit Week (EHPCSW), and International Crystallization School.

• Performed large parallel molecular dynamics simulations to study the stability of drug substances (HPC, Gromacs and Python).

I'm currently expanding my knowledge in areas like deep learning, Azure cloud computing, and data engineering to build more comprehensive and cutting-edge solutions for the industry.

If you'd like to connect, feel free to reach out to me on LinkedIn, or send me an email at [email protected]. I'm always open to networking, discussing opportunities, and collaborating on projects.

• Industrial Edge Playground: A scalable platform to create on-demand environments for customers to try out Industrial Edge products.
• Pharmaceutical Drying Web Application: A web application for modeling and visualization of the pharmaceutical drying process (not supported).
• Vasilgi Blog: A simple profile web page
• IoT Dashboard with Docker: Store and monitor temperature and humidity data using container services.