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A portfolio showcasing a personal journey into Computer Vision and Deep Learning, with a unique focus on bridging the gap between AI and the AEC industry. Contains my assignments, code solutions, and comprehensive study notes from Stanford's *CS231n 2025* course.

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CS231n: Deep Learning for Computer Vision 2025

The Egg Dance by Pieter Brueghel the Younger
The Egg Dance (ca. 1620), Pieter Brueghel the Younger

My Personal Portfolio

a journey into the world of Computer Vision and Deep Learning. With a background in architecture,designer and over **20 years of experience as an lecture, I am a lifelong learner and passionate about bridging the gap between AI and the AEC industry. This repository showcases my assignments, code solutions, and comprehensive study notes from the CS231n 2025 course.


Repository Structure


CS231n-Deep-Learning-for-Computer-Vision/
├── assignments/
│   ├── assignment1/
│   │   ├── README.md
│   │   └── (your solution files)
│   └── assignment2/
│       ├── README.md
│       └── (your solution files)
├── Notes/
│   ├── README.md
│   ├── Lec 1.md
│   └── ...
├── LICENSE
└── README.md


Assignments

Here are my completed solutions to course programming assignments. Each assignment folder includes the code and a detailed README.md file explaining my approach to solving the problems.

Study Notes

This folder holds my personal notes taken from the lectures. They demonstrate my learning process and my ability to understand and connect complex technical concepts.


About Me

My goal is to combine my extensive experience in architecture and education with my new passion for AI. I am passionate about building innovative solutions at the intersection of AI and the built world.

I am seeking roles as:

  • Solutions Architect (AEC)
  • Computer Vision Engineer
  • AI/ML Engineer for Digital Twins

Connect

Feel free to connect with me.

  • LinkedIn: [Your LinkedIn Profile URL Here]
  • Discord: I am also the founder of a study group for independent learners of this course. Feel free to join the community here: [Your Discord Channel Link Here]

License

This project is licensed under the MIT License.

About

A portfolio showcasing a personal journey into Computer Vision and Deep Learning, with a unique focus on bridging the gap between AI and the AEC industry. Contains my assignments, code solutions, and comprehensive study notes from Stanford's *CS231n 2025* course.

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