Entry-Level Process Engineer

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Location
Candidate No.
3806098

About this Candidate

DAVRON CV: Candidate 3806098

PROCESS ENGINEER | HYDROGEN & CARBON CAPTURE | PROCESS SIMULATION & LEAN MANUFACTURING

Core Expertise

  • Process engineering and simulation using Aspen Plus and HYSYS for energy-focused designs.
  • Implemented Lean methods, value stream mapping, and 5S to reduce manufacturing time by 8%.
  • Designed hydrogen and carbon-capture processes achieving >90% CO2 capture and 22% energy reduction.
  • Developed PFDs, P&IDs, equipment sizing, and plant layouts in AutoCAD for pilot-scale systems.
  • Performed root cause analysis, sensitivity studies, and optimization using Python and MATLAB.

Project Background

  • Improved thermoplastic pipe production line via value stream mapping and cellular flow design.
  • Conducted pressure testing and defect analysis; documented multiple repair configurations for resale evaluation.
  • Simulated biomass gasification and CO2 capture in Aspen Plus; optimized solvent flows and operating conditions.
  • Sized absorption and stripping columns using stage calculations, GPDC charts, and Aspen Plus validation.
  • Built automated catalyst porosity measurement system integrating ImageJ and Python; adopted as instructional reference.

Key Skills

  • Aspen Plus | Aspen HYSYS | Process simulation
  • AutoCAD | PFDs & P&IDs | Equipment sizing
  • Python | MATLAB | Excel | LabVIEW | ImageJ
  • Lean Manufacturing | Six Sigma | Value Stream Mapping | 5S
  • Hydrogen production | Biomass gasification | Carbon capture
  • Process optimization | Root cause analysis | Sensitivity analysis

Education

  • B.Eng., Chemical Engineering — McGill University

Awards & Recognition

  • Dean's Honor List
  • Faculty of Engineering Scholarship

Why Interview this Candidate?

An entry-level chemical engineer with strong academic performance and proven hands-on results in process improvement. Delivered an 8% manufacturing time reduction and 14% cell efficiency gain during manufacturing internship, and simulated hydrogen/carbon-capture systems yielding 22% energy savings and >90% CO2 capture. Proficient with Aspen Plus, AutoCAD, Python, MATLAB, and Lean methods, ready to contribute to process optimization and sustainability-focused projects.

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