Personal info
Your passion shines through.
I'm an engineer with a background in computational physics, converted to Data and AI because
of the beauty of ML methods.
This website runs on
- Docker
Nginx- GitHub Actions
- HTML 5
- Node.js
Personal projects
Github repos
github.com/futrmain
skilletlab
Interactive 2-D heat-diffusion solver for multi-layer frying pans, running in the browser.
TypeScript
sylvestorch
PyTorch implementation of Sylvester normalizing flows.
Python
dymode
Massively parallel implementation of Dynamic Mode Decomposition.
C++
torch_smooth_loss
Loss-smoothing loss function for PyTorch.
Python
Weights and Biases runs
wandb.ai/futromain
2022
2023
2024
Content creation & delivery
Presenting how to build RAG on Databricks to 200 people, Amsterdam 2024.
Transformer's self-attention mechanism (well) illustrated with video.
Workshop for EY to get the team certified in Data Engineering.
Author classification as pre-training for pairwise authorship verification.
MVP of similarity search using EfficientNet B0, with kind authorization from Zalando.
Meetup talk on image similarity search.
Comments on benchmark paper from MIT.