Cristian Cibils Bernardes

Founder & CEO

2024

Member

2024 - 2025

Fellow

2022 - 2024

Partner

2020 - 2022

Created and oversaw the deployment of a revamped risk-weighed, multi-sector, multi-region portfolio allocation strategy. Led the redesign, optimization, and maintenance of international corporate structures. Served on the investment committee for early stage VC investing in key verticals (AI, 5G, SynBio, Blockchain, Mobility, Sustainability). Developed new Brand Identity for the firm. Spearheaded internal moonshot factory integrating market intelligence derived from macroeconomic trends, labor trends, geo trends, and technology distribution trends.

Software Engineer

2016 - 2020

Socratic by Google (2018-2020): Information Retrieval, Machine Learning, Python, Distributed Systems. Google Shopping (2016-2018): Full Stack Feature Engineering, Data Analysis, UI (JS/HTML/CSS), Java, C++.

Symbolic Systems Advising Fellow

2015 - 2016

The Symbolic Systems Program hires around 7 advanced students in the major every year to help run the program in various ways. They are known as Advising Fellows, or AFs, and providing advice to potential and actual majors is probably their most important function. The AFs also help coordinate activities for the major, such as assisting faculty and researchers when they speak in the Symbolic Systems Forum, acting as liasons with the Symbolic Systems Students Association, helping out with student-faculty dinners, field trips, student-alumni events, the Distinguished Speaker, etc. In addition, AFs take care of such things as helping to maintain the Symsys website content, representing AFs within the student association, and representing student perspectives in program policy decisions.

Lecturer

2015 - 2016

Instructor for CS 106L, the Standard C++ Programming Laboratory at Stanford. Responsibilities include teaching biweekly 50-minute lectures, holding weekly office hours, ensuring grading punctuality, and maintaining the course website. The content of the class includes C++11 features (with extensive focus on templates, iterators, and algorithms), STL containers, RAII, Inheritance, Polymorphism, the Boost Library features, as well as an introduction to the Standard C++ style guide.

Resident Assistant

2014 - 2015

Branner Hall, Public Service Theme Dorm. Branner is an upperclass residence at Stanford, and it houses 120 residents, the majority of them sophomores and seniors. Around half of the Branner residents pre-assign (as opposed to draw in) to the Service Scholar program. Service Scholars, as part of their residential experience at Branner, explore the Six Pathways of Service and have a yearlong Sustained Service commitment. Responsibilities as an RA include programming planning and execution (from ideation to logistics), counseling for emotional and professional matters, hosting semi-weekly House Meetings, creating and sustaining a lively community, and being in a position of peer leadership as a representative of Stanford Residential Education

CS 106B Section Leader

2015 - 2015

Teaching weekly 50-minute section, grading programming assignments, holding Interactive Grading sessions, and holding weekly helper hours at the Library Access and Information Resources center. Content taught included but was not limited to: basic C++ syntax and data structures, recursion, runtime evaluation (big-O), pointers and pointer arithmetic, implementation of data structures such as trees and priority queues, graph search algorithms (Dijkstra's, Kruskal's, DBS, BFS).

CS 106A Section Leader

2014 - 2014

Teaching weekly 50-minute section, grading programming assignments, holding Interactive Grading sessions, and holding weekly helper hours at the Library Access and Information Resources center. Content taught included but was not limited to: basic algorithmic thinking, Java syntax and language functionality, data structures, Object-Oriented software architectures, Interactors and Graphic User Interfaces

Software Engineering Intern

2015 - 2015

Developer for the Google Video Ads Team. Project required heavy knowledge of Linguistics processing and understanding of the YouTube Ads workflow.

Engineering Practicum Intern

2014 - 2014

Developer for Google Ads Similar Audiences. My Intern Project was designing and implementing a metric with which to score the quality of similarity-ranking algorithms between sets of users. The project required extensive use of statistical analysis and Machine Learning. Required mastery of Google technologies such as Protocol Buffers, MapReduce, BigTable, and Borg.

Innovation Executive

2011 - 2012

Optimizing performance in diverse branches of the company, ranging from the legal department to the more technical services monitoring department.