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My name is Francisco Galuppo and I like to solve optimization problems using neural nets. My Master's dissertation was about solving Multi-Stage Stochastic Optimization (MSSO) problems using tiny neural nets. The algorithm is called Stochastic Neural Dynamic Programming (SNDP). Now I want to use large nets, and for that I'll need a MIP solver faster than Gurobi's. That's what I've been doing recently.
I'm from Brazil btw. I hold Bachelor and Master degrees in Computer Science from the Federal University of Minas Gerais (UFMG). I wrote some papers. And I worked as a machine learning engineer for a while.
I write mostly in Python. I tried Julia but no one seems to document things there.
From time to time I like to implement pointless things:
Vehicle Path Planning: I simply like this problem very much. It is about achieving the most fuel-efficient route selection. The fundamental challenge lies in guiding the vehicles from their initial position to a set of targets, all while ensuring collision-free movement.