Industrial Automation Engineer focused on building reliable, production-grade control systems and exploring advanced computational methods in engineering.
- Design and implementation of industrial control systems
- PLC programming (Siemens S7 / TIA Portal, Schneider)
- HMI/SCADA development (WinCC, Proface)
- Motion control and VFDs
- Industrial communication and integration
- Control loop design and process automation
- On-site commissioning and troubleshooting of production systems
- Machine Learning & Neural Networks
- Time Series Analysis & Signal Processing
- Multi-Agent Systems & LLM-based architectures
- Quantitative Finance & Market Data Analysis
- Control Systems (including advanced strategies like MPC)
- Modeling & Simulation (dynamic systems, hybrid approaches)
- AI-driven engineering tools
- Bridging classical control theory with data-driven methods
- Building modular Python-based research and engineering tools
- Designing multi-agent workflows for complex problem solving
- Experimenting with automation of engineering processes
MSc student with a focus on control systems, computational methods, and applied AI in engineering.
Open to technically challenging projects in:
- Industrial automation
- Intelligent control systems
- Applied machine learning
- Research-oriented engineering tools
- Languages: Python, C++, PLC (SCL/STL/LAD)
- Tools: TIA Portal, MATLAB/Simulink
- Other: Git, CLI tooling, structured project design