Passionate Software Engineer, https://nitter.cf/t.co/Q9PFMWG0G1 Author, Eager to learn new things, Fell in love with Elixir.
London
Joined September 2011
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alvisesus retweeted
Very early stage, but here's NxEigen!
A new native Nx backend meant for lightweight memory footprints. This is an Arduino Uno Q with 300MB memory allocated *in total* (BEAM and Linux included)
github.com/polvalente/nx_eig…
#MyElixirStatus
alvisesus retweeted
Give your Elixir apps vision! @alvisesus shows YOLO object detection integration into the BEAM - from custom training to real-time edge tracking at Code BEAM Europe 2025.
codebeameurope.com/talks/tea…
Built a parking sensor for my impossibly tight garage 🚗
Problem: 4.7m car, 4.8m garage space 😅
Solution: ESP32 + ultrasonic sensor + LED strip that shows distance with colors
poeticoding.com/build-a-park…
#arduino #esp32 #electronics
alvisesus retweeted
🔥 CodeBEAM Europe lineup: @alvisesus (object detection), Arne Stoll & @anne_biene (GenServer TLA+), Brett Cameron (legacy porting), @elbrujohalcon (Elvis linter), Carsten Rösnick-Neugebauer (AI robotics)! codebeameurope.com/#keynotes
alvisesus retweeted
Elixir Radar issue 478 is out! 📣
You can read it here: buff.ly/EcuJtxx
This issue comes with content from @mpraski96 @ZachSDaniel1 @alvisesus @matthewsinclair , Thibaut Decaudain and Ettore Berardi. Thank you!
#ElixirLang #MyElixirStatus
Fine-tuning YOLO models for custom object detection 🤖
See how to transform a generic 80-class detector into a specialized system and integrate it with Elixir applications. Applicable to sports analytics, manufacturing QC, and more!
poeticoding.com/fine-tuning-…
#myelixirstatus
alvisesus retweeted
Elixir Radar issue 477 is out! 📣
You can read it here: buff.ly/2WbX87A
This issue comes with content from @codestirring @alvisesus @katafrakt_pl @ThatArrowsmith @kraleppa and Fredrik Teschke. Thank you!
#ElixirLang #MyElixirStatus
🚀 Just released YOLO v0.2.0 for Elixir!
Now with YOLOX support, custom-trained models, and faster postprocessing thanks to Nx.Defn.
Perfect for real-time object detection in Elixir.
poeticoding.com/elixir-yolo-…
#myelixirstatus
alvisesus retweeted
Elixir Radar issue 457 is out! 📣
You can read it here: buff.ly/4jybpEh
This issue comes with content from @katafrakt_pl @JohnElmLabs @M3gy0 @alvisesus , Dmytro Kozin and Andrew Berrien. Thank you!
#ElixirLang #MyElixirStatus
🚀 Just released a video tutorial on my Elixir YOLO library for real-time object detection! Check out what you can build with just a few lines of code 👇
#myelixirstatus
youtu.be/sPSNewO3pN4
alvisesus retweeted
Elixir Radar issue 455 is out! 📣
You can read it here: buff.ly/4aifPL7
This issue comes with content from @Mike_Andr @ananthakumaran @sasajuric @alvisesus @timgremore and Chris Houhoulis. Thank you!
#ElixirLang #MyElixirStatus
Just thinking: Calling most "open source" LLMs (like LLaMA) feels off. Sharing weights & architecture without training data, hyperparams etc.. is like sharing a compiled binary & calling it open source. The training process is the real source. Without it, it’s just a black box.
🎉 Super excited to share my first Elixir library: YOLO! 🚀
Runs YoloV8n in 38ms on my mba M3 using YoloFastNMS
github.com/poeticoding/yolo_…
#myelixirstatus
It’s been a while! After focusing on ML and financial data full-time, I’m now consulting and lately I’ve been diving into:
- Video sharing with LiveView + FLAME
- YOLO object detection in Elixir
- Race car telemetry with Nerves
- VisionOS experiments
Here's a quick update👇
ALT Chaos in the Lab
5/ VisionOS Experiments
Exploring VisionOS by anchoring virtual objects to real-world items (like my car engine bay)
Post on reddit with full video: reddit.com/r/VisionPro/comme…
