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Education
Delft University of Technology (2013 - 2017)
- Degree: Master of Science - MS
- Field of Study: Embedded Systems, Algorithms track
- Description:
Delft University of Technology (2012 - 2013)
- Degree: Premaster
- Field of Study: Computer Engineering
- Description:
Hogeschool van Utrecht (2008 - 2013)
- Degree: Bachelor of Applied Science (BASc)
- Field of Study: Electronic engineering and design
- Description:
Skills:
Algorithms, Java, Embedded Software, Mathematics
Work Experience:
Algorithm Specialist at Elemica
- Location: Bunnik, Netherlands
- Duration: 2017-09 to Present
- Description: Algorithm Specialist and backend software engineer designing and maintaining software for a Transport Management System. It contains automatic planning functionality using BinPacking and VRP solvers. It is implemented in Java, using Spring and Hybernate to create a RESTfull app. Tasks include profiling, query optimization and being a scrum master.
Intern at NedTrain
- Location: Utrecht, Netherlands
- Duration: 2015-09 to 2017-03
- Description: Designing a framework for decomposing high dimensional problems into subproblems, such that algorithms for the subproblems could cooperate for finding shared solutions. Implemented in Java for the problem of routing and locating trains on a given infrastructure.
Campus Recruiter at ALTEN
- Location: TU Delft
- Duration: 2013-09 to 2014-08
- Description:
Intern at Alten PTS
- Location: Apeldoorn en omgeving, Nederland
- Duration: 2013-02 to 2013-06
- Description: During this internship I developed an application for indoor positioning on Android smart phones. Indoor locations could be determined using wifi, with an accuracy up to 3.6 metres. The application was programmed in java.
Intern at Thales
- Location:
- Duration: 2011-09 to 2012-02
- Description: I created a scope which could send error-data from a FPGA over an ethernet connection. The error-data could be received and plotted by mathlab. The scope was programmed in VHDL.
Candidate Intelligence Report
AI-powered analysis from the perspective of a US hiring director — evaluating career continuity, growth trajectory, and role fit.
Career Continuity & Risk Assessment
There is a noticeable gap between 2014-08 and 2015-09 (~13 months), which creates a moderate gap in employment history. The candidate has substantial industry consistency in engineering/software, with a mix of hardware, recruitment, and software roles; overall tenure shows strong stability at Elemica since 2017. Education aligns well with the technical roles, and the career path demonstrates the expected progression from intern to senior software/algorithm engineer.
Industry variation includes hardware (Thales FPGA/VHDL) and a campus recruiter stint before returning to software engineering, which introduces some diversity in domain exposure. While this is not a direct linear software-only trajectory, it remains within the broader engineering/tech ecosystem.
Current tenure at Elemica from 2017 to present is long and stable, indicating low risk of short stints and poor commitment at the senior level.
Education alignment is strong: Delft University of Technology background supports advanced algorithms, mathematics, and software development, which directly maps to the candidate's job responsibilities.
Career Growth Curve
Best-Fit Roles (Top 5)
Senior Algorithm Engineer - Logistics Optimization95% fit
Deep domain experience with vehicle routing, bin packing, and logistics optimization, combined with strong Java backend skills and Scrum Master experience; well-suited for senior IC roles leading optimization projects.
Staff Software Engineer - Backend (Java) - Optimization Focus92% fit
Proficient in Java, Spring, Hibernate, and performance-oriented development with profiling and query optimization; capable of scaling backend systems with optimization workloads.
Principal Algorithm Engineer - Transportation / Supply Chain90% fit
Extensive transportation domain knowledge and strong mathematical/algorithmic foundation; suitable for leading cross-team algorithm initiatives and setting technical direction.
Solutions Architect - Logistics / Transportation Systems85% fit
Combines algorithmic depth with system-wide design skills; can architect end-to-end TMS solutions and align engineering with business needs.
Tech Lead - Backend & Optimization78% fit
Leverages technical leadership and Scrum experience to guide backend and optimization projects; provides people leadership potential along with hands-on implementation.
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