My work focuses on training models to perform exhaustive browsing on the web, to code and, ultimately, to perform autonomous ML research to unlock recursive self-improvement for these models.

Undergraduate in Computer Science with concentration in Information (AI+Systems). Graduate student in AI with coursework in Bioengineering (bioinformatics and synthetic biology).

Hazy Research under Prof. Christopher Ré. Work on Retrieval Augmented Generation with Large Language Models; alongside Avanika.

Research around synthetic genetic circuits with Prof. Jennifer Brophy; open-sourced Seed Counter.

Payment Optimizations and Authorization Rates. Built an integration end-to -end for a new initiative around transaction-risk sharing with banking partners, expected to receive billions of dollars in transaction volume and double-digit millions of dollars in new authorizations.

Investing in founders at the earliest stages; mainly covering Stanford. Found and invested in Endex.ai.

Full-Stack/Product Engineer in the Customer Success team, hired for full-time position after my freshman year. Built dashboards for internal users and customers to obtain analytics from the product’s usage.

Worked with Daniel Gross on finding the undiscovered talent of the world – through code (and linear algebra).

Technology innovation lab for the corporate sector through artificial intelligence: computer vision, NLP and reinforcement learning.

Dagus was an online education platform for Mexican students with content from more than 60+ courses in the Mexican High School curriculum, including video tutorials, study guides and practice tests.

Since I was 5 years old, I have participated in vast number of leading TV shows reaching numerous corners of the Earth – from Mexico to Kenya to Estonia.