Samuel Landis

Scientific rigor applied to computer science.

Curiosity in the service of constant learning.

Strong ability to learn, understand, assimilate, reuse

Computer science is a TOOL. We must be able to count on it and it should NEVER be up to us to adapt to its malfunctions.

I love finding the source of bugs and (getting them) fixed.

I love thinking about different or original solutions.

The more vicious the problem, the more I enjoy it. And I like to have fun!

I don't necessarily go fast, but in principle (at least until now), I don't give up unless I'm ordered to.

Some examples:

- Optimization of a sort that took more than 12 hours to execute. Study of the sorting tool used. Optimization. Breakdowns. Parallelization. Disruptive approach.

=> Execution in 2 hours now :)

- COBOL program that looped. Fine analysis of the source after 2 "experts" broke their teeth on it. A "." was missing. Fixed.

=> It no longer loops :)

- Slow recommendation engine. Adoption of a pre-calculation and database storage approach.

=> Instant response now :)

- Need for a large number of images of the same type for a game. Creation of a generator in PYTHON

=> less than a second to generate everything :)