Terminal

$ whoami

Mauricio Tec · Sr. Applied Scientist · Amazon AGI

$ cat about.txt

Agentic post-training for frontier models at Amazon AGI. Self-taught roboticist: vision + action + autonomy. Working on RL since before it was so trendy. No barriers between science and engineering. Computer Science + Math + Data Science. Vibe coding this website.

$ open robocup.jpg

$ cat experience.txt

Amazon AGI · Harvard · Meta AI (FAIR) · Intel 
PhD @ UT Austin · MSc @ Cambridge · BSc @ ITAM

$ ls projects/examples/

• rule-bottleneck-rl — RL agents that explain their own decisions

• robust-dpo — making RLHF work when humans disagree

• diffusion-transfer — adapting diffusion LLMs without retraining

• adversarial-intrinsic-motivation — teaching RL agents to explore

• robot-soccer-vision — real-time deep learning vision on low-end robot hardware

• heat-alerts — RL for public policy

• equivariant-topo-nn — geometry-aware neural networks for complex structured data

$ cat links.txt

github · scholar · linkedin · x

$ cat /etc/motd

// …built with Claude Code. based on data, but verify.

$ _