Location: France, CEST timezone (UTC +2)
Remote: Yes
Willing to relocate: No
Technologies: Python, CUDA, pytorch/JAX/TF, Aws/Docker/Linux, typescript/React
Résumé/CV: https://morgangiraud.com/public/cv-morgan-giraud.pdf
Email: contact[AT]morgangiraud[DOT]com
I'm really passionate about ML, both in terms of research and production. I've also founded (as the tech) a startup which operated successfully ~10 years. I'm efficient at understanding product and user experience requirements and distill them into actionable technology, as well as interpreting research papers to enhance models in production.
ML engineer.
10+ years of experience in dev in general and 6 years of experience in ML. Past experiences include:
- CTO & cofounder (webapp) (2012 - 2016)
- Freelancer (Web/ML) (2016 - 2022)
- Code instructor (1 semester)
- ML research internship (1 semester)
- Lead Developer (2022-2023)
When faced with insufferable people, it's important to focus on yourself and your own conduct. As Seneca said, "It is your conduct that you must hold in check; you must rouse what is languid in you, bind fast what has become relaxed, conquer what is obstinate, persecute your appetites, and the appetites of mankind, as much as you can".
You should also close your ears against evil talk and avoid being drawn into conversations that could lead you astray. As Seneca said, "Virtue, Philosophy, Justice this is a jargon of empty words. The only way to be happy is to do yourself well. To eat, drink, and spend your money is the only real life, the only way to remind yourself that you are mortal"
You're right, i've been myself using git, github, keynote, ffmpeg, medium, JS, python, d3 and others to build blog post.
I clearly don't expect people to do that much. I can only do that because i'm coming from web development, and very nice tools started to appear recently.
People in research needs a design framework like a set of templates for keynotes/PPT/JS/CSS (think about how much traction got bootstrap). Distill is doing an awesome jobs at showing the example of what you could do.
Maybe Distill could open-source the templates they use to build those blog post?
Here is my new article on universal approximation theorem
TLDR:
- I implement a first universal approximator with TesnorFlow and i train it on a sinus function (I show that it actually works)
- I use it inside a bigger neural networks to classify the MNIST dataset
- I display the learnt activation functions
- I show that whatever the learnt activation function is, i get consistently the accuracy 0.98 on the test set
- bonus: all the code is open-source
Feel free to ask questions or give feedback or both!
What if i ask magic+ to ask magic+ for a time consuming task. Since i'm not asking magic+ myself anymore, should i pay anything apart the 2 minutes it took to ask magic+ from the inside?
It's a simple example but I was delighted to see how clean the code looked when implemented with outlines so I wanted to share it.
Feel free to ask questions!