Sectors:
Locations:
Min Investment:
Max Investment:
Target Investment:
Master of Science - MS
Bachelor of Science - BS
2024
2024
bip, bup, bip
2023 - 2024
Research under Prof. Chris Ré (Hazy Research) around LLMs: self-improving systems, retrieval, synthetics, web agents.
2021 - 2023
2021 - 2023
Investing in student founders at the earliest stages.
2022 - 2022
2022 - 2022
Payment Optimizations and Authorization Rates. Built an end-to-end system for a new initiative around transaction risk sharing with banking partners, expected to receive billions of dollars in transaction volume and millions of dollars in new authorizations.
2021 - 2021
2021 - 2021
Full-Stack/Product Engineer in the Customer Success team. Built dashboards for internal users and customers to obtain analytics from the product's usage. Built MVP for a new product line with insights from customer's text data. Tools: Typescript, React, SQL, Machine Learning Cresta is backed by a16z, Greylock and Sequoia.
2020 - 2021
2020 - 2021
Worked with Daniel Gross on finding the undiscovered talent of the world -- through code (and linear algebra). Python, databases, distributed computing, machine learning, web scraping.
2003 - 2020
2003 - 2020
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. You can look me up in IMDB. On the journey to get back to where it all started.
2020 - 2020
2020 - 2020
Stanford company in the retail/e-commerce intelligence space. Provides insights for better decision-making. Helped run user research and early prototypes and product design of a new product line.
2017 - 2019
2017 - 2019
We are a technology innovation lab for the corporate sector through artificial intelligence: computer vision, NLP and reinforcement learning. We are devoted to designing, developing and implementing solutions for challenges in retail, finance, manufacture, real estate and marketing. Leadership on the development of the company's products, including a platform for automatic data capture in documents using Computer Vision and Natural Language Processing. - Leading the development team. Implemented Agile methodologies. I coordinate the efforts of the AI and software teams. - Served as CTO. Designed a highly scalable serverless architecture for our user API with AWS. - Conducted user research and sales. - Chief Firefighter to solve those unexpected bugs. - Designed strategy for the Go to Market. Great results when implemented - they key: DONE is better than perfect.
2016 - 2017
2016 - 2017
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. As a group of mexican students we wanted to help our fellow scholars in their educational process. We noted that 50 people in one classroom don't learn each in the same way, and the teacher doesn't have the capabilities nor the time to give every student a personalized treatment. This way, Dagus was born as a digital intelligent platform that allowed student to have the best quality content on their hands, the moment they needed it and the way they wanted it. We achieved incredible results. Without any marketing, in few months Dagus gained over a thousands active members from a handful of high schools. Achievements - Created content for 60+ courses with more than 20 volunteers - Nearly a thousand users from multiple high schools in Mexico - Participation in the Entrepreneur Week, one of Mexico's most important events for this matter - Presence in articles from Mexico's leading press