Alex Suzuki

printf("Hello, world.\n");

About me

A 40-something nerd that likes Fantasy, Science Fiction, Nature and Computers. I love building stuff and am trying to make a living out of it. I live and work in Switzerland, have two kids and am married to a wonderful wife.

I occasionally write on Medium and I’m also on X if you’d like to reach out: x.com/pixelsnob. Please don’t be disappointed if I don’t react. I increasingly think social media is driving us apart.

Professional Life

After 15+ years of building other people’s ideas, I got tired of it and am now building and marketing my own product: STRICH is a JavaScript library for barcode scanning in web apps. STRICH is marketed under the umbrella of Pixelverse, an LLC I’ve bootstrapped and fully own.

I am passionate about building good software and strive to make customers happy. Knowing that my product is being used every day by countless users around the globe is slightly scary but also brings me a lot of joy.

I'm on LinkedIn, but I typically only connect with people I’ve met in real life.

Digital Art

Occasionally I get to work in a field that is quite different from the one I’m used to. Here’s some recent work that I’ve done and which I’m proud of.

Denominator by Urs Fischer

Exhibited at Gagosian NYC, September 2022

What I built:

Cloud-native solution for a web-based media curation workflow, multi-terabyte volume
Web frontend (SPA, Angular) and backend (Flask)
Media storage, processing, conversion using AWS services like Lambda, Batch, AppRunner
Custom media categorization and labeling using AWS Rekognition and Google Video Intelligence
Semantic search in a large corpus of videos, powered by OpenAI CLIP model and pgvector for vector embeddings
AWS account management, solution architecture, implementation and CI/CD deployment

Check out the installation video to get an idea of the artwork.

People by Urs Fischer

Exhibited at Gagosian NYC, September 2022 as part of Denominator.

What I built:

Direct collaboration with artist
Web-based media curation / background removal workflow
Face detection and measuring for sprite generation using AWS Rekognition
Physically-based simulation implemented with Python and Box2D
Custom rendering to ProRes 4444, sprites rendered as video textures
AWS account management, solution architecture, implementation and CI/CD deployment

Check out the installation video.