Job de Vogel
future
building
building
engineer
programmerportfolio
Timeline
Timeline
Timeline
Education
Experience
MSc. Building Technology
Delft University of Technology, Netherlands, Delft
Spatial Computing (minor)
Delft University of Technology, Netherlands, Delft
Archineering (minor)
Delft University of Technology, Netherlands, Delft
BSc. Architecture and the
Built Environment
Delft University of Technology, Netherlands, Delft
Atheneum Nature & Technology
Melanchthon Bergschenhoek
Teaching Assistant Design Informatics
Delft University of Technology, Netherlands, Delft
Computer Helpdesk Employee @Hok ICT support
Delft University of Technology, Netherlands, Delft
SHS Delft
Stichting Herontwikkeling tot Studentenhuisvesting
Fulltime Chairman
Fulltime Secretary
Software
Skills
Creative
Leadership
Life conversations
Computer Engineering
Experienced
McNeel Rhino 3D
Grasshopper
Python
Maya & Arnold
Substance Painter
Revit
Lumion
GitHub
Photoshop
InDesign
Illustrator
RoboDK
Premiere Pro
Able to:
- Edit a basic video;
- Cutting, adding music;
- Basic transitions and effects.
Time spent: > 25 hours
After Effects
Able to:
- Add basic effects to Premiere Pro videos;
- Follow videos online to create a certain effect.
Time spent: > 15 hours
Adobe XD
Able to:
- Design a website or app using Adobe XD;
- Explain when to use Adobe XD within the design process.
Time spent: > 5 hours
Fusion 360
Able to:
- Understand the advantages of using Fusion 360;
- Creating basic 2D construction drawings;
- Generate basic 3D volumes.
Time spent: ~10 hours
Arduino
- Read and write basic Arduino code;
- Control Arduino hardware through Python;
- Control Arduino hardware through Grasshopper;
- Build basic Arduino circuits: potentiometers, buttons, lights, LCD screens etc.;
Time spent: > 20 hours
Machine Learning
Able to:
- Implement supervised and unsupervised algorithms like Linear Regression, K-means, SVM and Random Forest;
- Have a discussion about the implementation of the different subfields of Machine Learning within the built environment;
- Understand basic Linear Algebra used for Machine Learning.
Time spent: ~80 hours
Houdini
Able to:
- Explain the advantages of using Houdini as parametric design tool;
- Implement a basic semi-dynamic algorithm using visual scripting;
- Use external CSV data to be used in an adaptive design.
Time spent: >150 hours
SideFX
Able to:
- Read and understand the SideFX programming language;
- Write very basic scripts.
Time spent: ~20 hours
C++
Able to:
- Roughly understand the C++ programming language;
- Discuss the advantages of C++ over Python in the built environment.
Time spent: ~80 hours
Enscape
- Use Enscape for my design process;
- Explain the advanteges of using Enscape over other rendering software;
- Figure out how to use Enscape for a 3D render or VR scene.
Time spent: ~ 3 hours
HTML & CSS & JavaScript
Able to:
- Build and publish a website;
- Create animations using JavaScript;
- Properly organize the code behind a website;
Time spent: >100 hours
Wordpress
- Manage Wordpress websites of different organizations;
- Rebuild a website in Wordpress;
- Implement HTML script within Wordpress.
Time spent: >100 hours
Starter
Premiere Pro
After Effects
Adobe XD
Fusion 360
Arduino
Machine Learning
Houdini
SideFX
C++
Enscape
HTML & CSS & JS
Wordpress
McNeel Rhino
Able to:
- Teach Rhino to Bachelor students;
- Use Rhino as my main digitial design tool;
- Develop 2D and 3D (construction) drawings for diffent types of projects;
- Use Rhino in combination with Lumion and Enscape;
Time spent: >800 hours (in combination with Grasshopper)
Grasshopper
Able to:
- Teach Grasshopper to Bachelor students;
- Develop Grasshopper study material for TU Delft students (see link, developed by me in 2020-2021);
- Use most functions in Grasshopper;
- Build complex visual scripts;
- Combine visual scripting with Python programming;
- Help other people on the Grasshopper McNeel forum.
Time spent: >800 hours
Python
Able to:
- Implement dynamic programming algorithms using memoization;
- Understand and use basic Object Oriented Programming;
- Use Numpy;
- Build an app for Android in Python;
- Control Arduino using Python;
- Structure a script according to PEP8 rules;
- Copy, reference and paste code of other people;
- Have a conversation about (dis)advantages of Python.
Time spent: >400 hours
Maya & Arnold
Able to:
- Develop a highly realistic stationary scene;
- Work with large amounts of polygons using instancing;
- Develop a 3D realistic animation;
- Model objects in Maya;
- UV map textures on an object in Maya;
- Optimize Arnold settings for speed;
- Make use of the TU Delft renderfarm.
Time spent: >300 hours
Substance Painter
Able to:
- Create my own materials in Substance;
- Render an object with materials in Substance;
- Integrate UV maps from Maya into Substance;
Time spent: ~10 hours
Revit
Able to:
- Give a practical lecture about the use of Revit to Bachelor students.
- Develop a standard building in Revit;
- Create my own family objects in Revit;
- Render projects using the cloud service;
- Draw technically correct details.
Time spent: >100 hours
Lumion
Able to:
- Render a photorealistic scene;
- Use live-sync between Revit/Rhino and Lumion;
- Create a stylistic image of a building.
Time spent: ~15 hours
GitHub
Able to:
- Use github in my daily programming work;
- Commit, push, pull using the Windows command prompt or VS Code;
- Manage repositories and brnaches on my own Github account.
Time spent: unknown
Photoshop
Able to:
- Finetune a render from other software;
- Tweak images, add filters;
- Erase parts of an image without making it visible;
- Integrate Photoshop in my daily design workflow;
Time spent: ~150 hours
Indesign
Able to:
- Use InDesign to make a final document;
- Create my own preset styles;
- Use InDesign with embedded Illustrator and Photoshop files.
Time spent: ~75 hours
Illustrator
Able to:
- Make basic vector drawings;
- Transform an external image to a vector drawing;
- Edit Rhino drawings in Illustrator in the final drawing stage.
Time spent: >25 hours
RoboDK
Able to:
- Control a Robot from Grasshopper;
- Control a Robot from RoboDK;
- Build a robot program;
- Create a robot collision map;
- Use the Python API.
Time spent: ~80 hours