Nicolas Vila
Machine learning engineer focused on reinforcement learning and AI
Summary
Reinforcement learning researcher and practitioner: Nicolas has focused academic and implementation work on entropy-regularized reinforcement learning and LP-based RL algorithms, producing an undergraduate thesis and accompanying codebase exploring Q-REPS and primal-dual approaches. github+1
Bridges academic research and applied ML engineering: he combined exchange research at the University of Chicago Law School (fine-tuning LLMs and RAG pipelines) with industry data and ML engineering internships at Amazon and HP. github
Top-ranked undergraduate with strong technical orientation: graduated first in his class from Universitat Pompeu Fabra in Mathematical Engineering in Data Science and completed a substantial thesis under a noted advisor. github
Early-stage startup engineering experience: currently serving as a founding engineer at G LNK (YC W25), indicating a transition from internships and research roles into product and systems work at an early-stage company. theorg