Saeid Pouladchang
Data Scientist · Deep RL · Operations Research
MSc Engineering Technology (Strategos) · University of Genoa
About Me
I am a Data Scientist and Industrial AI Engineer specializing in
Deep Reinforcement Learning and Operations Research.
Instead of just analyzing past data, I build AI agents that make optimized, forward-looking decisions
for complex logistics and supply chain problems.
My recent work includes an RL-driven inventory optimization engine that outperformed traditional
heuristics by over 10% in profitability. I also believe
in learning in public — check out my
TIL (Today I Learned) repository,
where I document practical, bite-sized ML concepts.
Featured Work & Live Demos
Deep Reinforcement Learning agent for dynamic ordering under stochastic demand. Achieved a +10.2% profit increase over baseline heuristic methods.
Continuous control optimization solving sparse-reward environments with a 98% success rate. Implemented Dueling DQN architecture.
An open-source collection of self-contained, bite-sized notes on building and debugging neural networks — from data prep to optimization algorithms.