⚙️ Skills & Services

Rigorous quantitative methods for complex decision problems.

I bring deep expertise in mathematical modeling, optimization, and analytical methods — the foundation for reliable engineering and data-driven decision-making.

What I deliver:

• System identification and parameter estimation
• Control-theoretic analysis (stability, observability, controllability)
• Mathematical optimization (linear, nonlinear, mixed-integer, convex)
• Operations research and scheduling problems
• Stochastic modeling and uncertainty quantification
• Statistical methods (Bayesian inference, MCMC, hypothesis testing)
• Thermodynamic and first-principles modeling
• Custom solver integration and algorithm design

Ideal for: Engineering firms, R&D teams, operations-heavy organizations, and anyone needing robust quantitative foundations for complex decisions.

Data-driven intelligence — from classical ML to modern generative AI.

I design and deploy machine learning systems that are reliable, interpretable, and grounded in domain knowledge. My work spans the full ML lifecycle, from data preparation to production deployment.

What I deliver:

• End-to-end ML workflows: data cleaning, feature engineering, model selection, validation
• Deep learning architectures (PyTorch, Keras) for time series, vision, and structured data
• Generative AI and LLM ecosystem: prompt engineering, RAG systems, fine-tuning, AI application development
• Physics-informed and grey-box ML models
• Anomaly detection, forecasting, and clustering systems
• Integration of ML models with real-time control and automation
• Foundational AI knowledge consulting and team upskilling

Ideal for: Smart grids, industrial automation, climate-tech, healthcare analytics, fintech, and any organization building AI-powered products or processes.

Precision engineering for complex dynamical systems.

Control engineering is at the core of my expertise. I design strategies that make systems predictable, stable, and efficient — from single-loop controllers to distributed multi-agent architectures.

What I deliver:

• Model Predictive Control (MPC) design, tuning, and deployment
• State-space modeling and state estimation (Kalman, EKF, observer design)
• Advanced control methods: stochastic MPC, robust control, adaptive control
• Distributed and multi-agent control architectures
• Practical automation and PLC/SCADA integration concepts
• Optimal control formulation and solution via CasADi, Pyomo, Gekko
• Scenario-based and chance-constrained control

Ideal for: Energy companies, automation firms, robotics teams, building management systems, and any application requiring real-time intelligent control.

The right tools, used well.

I write production-quality code and build reproducible computational workflows. My toolbox spans scientific computing, optimization solvers, and simulation platforms.

What I deliver:

• Python (10+ years): NumPy, SciPy, pandas, scikit-learn, PyTorch, FastAPI
• MATLAB/Simulink (8+ years): control design, signal processing, system simulation
• Stan and probabilistic programming for Bayesian workflows
• Simulation platforms: Modelica, Dymola, Simulink, MOSAIK (co-simulation)
• Optimization solvers: Gurobi, IPOPT, CasADi, Pyomo, CPLEX
• Software engineering practices: Git, CI/CD, testing, documentation, reproducible pipelines
• Scripting and automation: Bash, Docker, cloud deployment basics

Ideal for: Teams needing reliable, maintainable technical software — whether for R&D prototyping, production analytics, or simulation environments.

Domain expertise where engineering meets the energy transition.

My PhD and postdoctoral research focused on energy systems — from microgrids and power electronics to building HVAC and renewable integration. This domain knowledge grounds my analytical work in physical reality.

What I deliver:

• Electrical and power systems: microgrid control, demand response, flexibility markets
• Thermal and HVAC systems: modeling, control, optimization of heating/cooling
• Renewable energy integration: PV, wind, battery storage, hybrid systems
• Measurement, diagnostics, and commissioning support
• Energy system co-simulation and digital twin concepts
• Grid-interactive building and district energy strategies

Ideal for: Utilities, energy startups, building technology companies, district energy operators, and sustainability-focused organizations.

From raw data to reliable insights.

I turn messy real-world data into clean, actionable information — combining statistical rigor with practical engineering judgment.

What I deliver:

• Data engineering: pipelines, cleaning, quality assurance, ETL workflows
• Statistical analysis: regression, time series, causal inference, experimental design
• Signal processing: filtering, spectral analysis, event detection
• Visualization and reporting: dashboards, publication-quality figures, automated reports
• Exploratory data analysis and pattern discovery
• Data stewardship and governance best practices

Ideal for: Organizations with rich sensor data, measurement campaigns, or complex datasets needing structured analysis and clear communication of findings.

Bridging simulation and physical reality.

My early career in ventilation/refrigeration engineering and my research lab experience give me hands-on understanding of experimental systems — from sensor selection to test-rig commissioning.

What I deliver:

• Laboratory and test-rig design for control and energy systems
• Experimental methodology: design of experiments (DoE), test protocols
• Sensor selection, data acquisition system setup (DAQ)
• Model validation against experimental data
• Commissioning support and troubleshooting
• Hardware-in-the-loop (HIL) and rapid prototyping concepts

Ideal for: R&D labs, university-industry partnerships, product development teams, and anyone validating models or algorithms against physical systems.

Turning complexity into clarity — and ideas into outcomes.

Coming from a strong teaching background (ETH Zurich) and experience coordinating multi-stakeholder research projects, I bring structured, empathetic leadership to technical teams.

What I deliver:

• Technical project management: scope definition, milestone planning, stakeholder coordination
• Scientific communication: papers, reports, presentations, grant writing
• Teaching and facilitation: workshops, training sessions, knowledge transfer
• Team mentoring and supervision of junior engineers and researchers
• Cross-cultural and cross-disciplinary communication
• Academic–industry translation and bridging

Ideal for: Organizations needing a bridge between research and engineering, technical teams requiring structured leadership, and projects spanning multiple disciplines or cultures.