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Professional Summary

 

A process engineer holding BASc. & MASc. in Chemical/Process Engineering and MASc. in Mining & Minerals Engineering, with advanced data analytics skills, experienced in inspecting, designing, optimizing, and evaluating large-scale industrial systems in conjunction with simulation, virtual environment training and data-driven tools to support design, development, and decision-making with a focus on enhancing operational efficiency, identifying potential issues and reducing costs.

Technical Summary

 

Engineering Tools: Aspen Suite, Autodesk Plant 3D, Deswik, Vulcan, Autodesk AutoCAD, COMSOL, SolidWorks, LAMMPS, VASP, CHARMM, Biovia, Ab Initio, Gromacs, Gaussian, Microsoft Office, LaTeX, Git.

 

Programming
- Python, C++, Fortran, Java, MATLAB, bash.

 

Modeling Skills
- Process Flow Diagrams, Piping and Instrumentation Diagrams, CAD, equipment sizing, cost and utility estimation, exergy and pinch, OpEx and CapEx.
- Advanced modeling skills across scales: FEM, DPD, PBM, LBM, QM/MM, MD, DFT, kMC, etc.
- Data operations including classification, clustering, regression, segmentation, tree models, ensemble learning, temporal data correlation algorithms such as ARIMA, LSTM, CNN, PCA, via PyTorch, SkiLearn, TensorFlow, SQL, Pandas, NumPy, SciPy, Scikit-Learn, Matplotlib, Seaborn, Jupyter.

Organizational Culture

 

  • International work experience across Asia, Europe, Middle East and North America within diverse cultural settings, built and maintained professional relationships.
  • Independent, productive and active team player, always met deadlines and delivered projects with high-quality results.
  • Skilled in identifying key questions with a root-cause approach, developing clear and compelling argumentation, and crafting effective project budgets and timelines.
  • Successfully secured funding from international organizations including European Union.
  • Authored 40+ publications (h-index: 15) & spoke at multiple international and national venues.

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