Mauricio Tec
Senior Applied Scientist, Artificial General Intelligence (AGI) at Amazon
Boston, Massachusetts, United States
Summary
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Senior🎓
Top SchoolMauricio Tec is a Senior Applied Scientist specializing in reinforcement learning, LLMs, and diffusion generative models, with 12 years of industry experience and a PhD-level background in machine learning and statistics. He has led interdisciplinary teams at Harvard, securing $1.5M in grants and publishing in top-tier venues while building RL-driven agent frameworks that improve interpretability and resource allocation. Currently at Amazon, he focuses on post-training RL to optimize agentic capabilities of multi-modal frontier LLMs and scaling RL infrastructure for billion-parameter models. His work spans practical production deployments—from portfolio optimization systems in finance to robustness testing on edge hardware—demonstrating a rare blend of academic rigor and engineering impact. Mauricio also explores novel transfer learning for discrete diffusion LLMs and online RLHF techniques that make weak LLM judges more useful, hinting at a deep interest in actionable, deployable AI. Based in Boston, he welcomes collaborations that bridge research breakthroughs with real-world systems.
12 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Machine Learning / Statistics, Doctor of Philosophy - PhD Machine Learning / Statistics at The University of Texas at AustinMaster's Degree Mathematics, Master's Degree Mathematics at University of CambridgeBachelor's Degree Mathematics, Bachelor's Degree Mathematics at Université Paris Dauphine - PSLBachelor's Degree Applied Mathematics, Bachelor's Degree Applied Mathematics at Instituto Tecnológico Autónomo de México
English, French, Spanish, German
Stackoverflow
73reputation
496reached
0answers
1question
Github Skills (63)
simulation9
sampling9
julia9
science8
del8
las7
programming-language7
machine-learning7
hpc7
html6
database6
meta-tags6
javascript6
numerical6
r6
Programming languages (8)
Github contributions (5)
ITAM-DS/estadisticaComputacional2016
Oct 2016 - Nov 2016
Contributions:40 commits, 41 pushes, 1 branch in 1 month
itamdelcursolas
mauriciogtec/rule-bottleneck-reinforcement-learning
Dec 2024 - Mar 2025
Code for paper: RBRL: Joint Explanation and Decision Optimization for Resource Allocation with Language Agents
Contributions:5 reviews, 55 PRs, 110 pushes in 3 months
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