Summary
Agustín Leñero is a seasoned software engineer with 14 years of experience who now focuses on RLHF and model fine-tuning at Scale AI, applying his Ruby/Rails and full-stack background to improve AI coding abilities and orchestrate multi-step task execution. He has a strong track record building web platforms and leading delivery—from freelance full-stack projects to roles at Globant, Chargify and PwC—bringing practical DevOps, CI/CD and TDD practices to complex teams. At Scale he combines hands-on debugging of AI-generated code with prompt engineering and comparative LLM analysis to address model weaknesses and raise output accuracy. Based in Mexico City and trained at Tecnológico de Monterrey, he pairs engineering rigor with creative interests in electronic music and generative art, which inform a pragmatic yet experimental approach to AI-driven systems.
14 years of coding experience
13 years of employment as a software developer
Bachelor of Science, Computer Science and Technology, Bachelor of Science, Computer Science and Technology at Tecnológico de Monterrey
English, Spanish, French