Experience

Storyline

• United States
• Data Infrastructure and Analytics
• 1 - 100 Employee

• Lead Software Engineer

  • Jan 2023 - Present

  Chicago, Illinois, United States



Northwestern University

• United States
• Higher Education
• 700 & Above Employee

• Doctoral Student

  • Sep 2019 - Present

  Evanston, Illinois, United States Computer Science PhD student at the C3 Lab, working under Kristian Hammond. Worked on a project to automate data analytics to democratize data-driven information for people without technical skills.

• Latin@CS: President and Co-Founder

  • Jul 2020 - Jul 2021

  • Founded Latin@CS: a student organization that provides mentorship, networking, and support for Latinx students • Manage strategy, outreach, and logistics to build a robust structure to ensure organizational effectiveness and longevity • Oversee external partnerships to obtain external support and increase Latinx representation at Northwestern



Munich Re

• Germany
• Insurance
• 700 & Above Employee

• Data Science Intern

  • Jun 2022 - Aug 2022

  New York, New York, United States



RIIAA

• Mexico
• IT Services and IT Consulting
• 1 - 100 Employee

• Executive Board Member

  • Sep 2020 - May 2022

  Lead logistics team to manage internal operations, committee membership, and team meetings. Aided in planning speaker panels, procuring sponsorships, and long-term strategy for the organization

• Organizer

  • Sep 2019 - Sep 2020

  • Lead the university outreach initiative to increase participation by students from underrepresented public institutions • Aided in building internal organizational structure to improve efficiency and internal communications • Managed sponsorship outreach and partnerships for the conference

• Summer School Instructor

  • Aug 2019 - Aug 2019

  Mexico City Area, Mexico • Imparted a practical summer school workshop on Recommender Systems, focusing on Machine Learning techniques and algorithm implementations • Programmed a Jupyter Notebook tutorial along with implementations of various Recommender System algorithms • Aided in the reviewing process for selecting the posters that would be accepted in the student poster competition.



Northwestern University

• United States
• Higher Education
• 700 & Above Employee

• Student Mentor

  • Jan 2020 - May 2020

  • Mentored two undergraduate students from the University of Michigan in a research project analyzing fairness in recidivism prediction instruments • Managed the students’ technical tasks and direction, as well as aided in defining the guiding research questions • Aided in writing a successful submission for Grace Hopper Celebration’s undergraduate student poster research competition



University of Michigan College of Engineering

• United States
• Higher Education
• 700 & Above Employee

• Machine Learning Student Researcher

  • May 2018 - Sep 2019

  Ann Arbor • Took a leading role in a recommender system research project that explored recommender systems that can withstand manipulation from malicious users • Designed and implemented a Python simulation of the Influence-Limiter Algorithm to analyze theoretical and practical capabilities and limitations • Won second place at the undergraduate poster and technical presentation at the 2019 Tapia Conference • Presented my research results at the 2019 Tapia Conference on the practical… Show more • Took a leading role in a recommender system research project that explored recommender systems that can withstand manipulation from malicious users • Designed and implemented a Python simulation of the Influence-Limiter Algorithm to analyze theoretical and practical capabilities and limitations • Won second place at the undergraduate poster and technical presentation at the 2019 Tapia Conference • Presented my research results at the 2019 Tapia Conference on the practical capabilities of influence-limited recommender systems in withstanding attacks by malicious actors • Recipient of an NSF-sponsored scholarship to attend the conference

• Instructional Aide for Introduction to Machine Learning Course

  • Jan 2018 - Apr 2019

  Ann Arbor • Lead a weekly discussion session and office hours where I taught students about Machine Learning • Aided with planning course content, writing assignments, designing exams, and overall logistic support • Took a lead role in designing a project using Support Vector Machines for sentiment analysis • Helped design and program an image recognition project with Convolutional Neural Networks

• Machine Learning Research Assistant

  • Jan 2018 - Mar 2019

  Ann Arbor • Took the lead in a research project that explored patterns in gun violence in the United States • Researched and processed data in gun violence database using feature engineering in Python scripts • Used statistical and machine learning time series analysis to predict likelihood of shooting, including Recurrent Neural Networks, Hidden Markov Models, and boosting algorithms with the Keras library

• Theory Group Research Assistant

  • May 2017 - Jan 2019

  Ann Arbor, Michigan • Developed and deployed a web application to test the performance of truth-eliciting mechanisms, using the Django web framework, SQL, and the Microworkers crowdsourcing platform • Analyzed the relation between f-mutual information, effort, and attentiveness in crowdsourced tasks • Learned to design social computing experiments, regarding both the technical and UX components of the experiment

• Departamental Ambassador

  • Sep 2017 - Dec 2017

  Ann Arbor Lead weekly discussions in which I reinforce material presented in lecture and I offer personalized assistance to my students in defining personal and professional goals.



Science Learning Center at University of Michigan

• Study Group Facilitator

  • Sep 2016 - Apr 2017

  Ann Arbor • Conducted weekly review sessions for Physics study groups • Promoted good study habits and a supportive community for academic development