cv

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Basics

Name Nicolás Vila
Email nicolasvila@uchicago.edu
Phone (+34) 692201580
Url https://github.com/niicovila
Summary A Mathematical Engineering student with a focus on machine learning, deep learning, and artificial intelligence research.

Work

  • 2023.06 - 2023.10
    Data Engineer Intern
    Amazon EU
    Part of the Data Engineering team at ATS (Amazon Transportation Services) which handles data pipelines used by a range of different internal teams. Developed a visual analytics pipeline on AWS Quicksight to deploy dashboards and create automatic alerts from real-time data stored in an RDS Database using the AWS-CDK.
  • 2023.03 - 2023.10
    Research Assistant
    University of Chicago Law School
    Research on fine-tuning open source and pre-trained Large Language Models for automatic text generation in the realm of Law, such as case briefings and memorandums. Undergraduate thesis: Regularized Deep Reinforcement Learning from a Linear Programming framework
  • 2023.01 - 2023.03
    Data Science Clinic student
    University of Chicago Data Science Institute | Greenwave
    Research and implementation of computer vision models to predict the mass of kelp from images.

Education

  • 2022.09 - 2023.06

    Chicago, IL

    Bachelor of Science
    The University of Chicago
    Non-degree seeker, International Student at Large
    Coursework:
    • Time Dependent Data
    • Introduction to Cryptography
    • Introduction to Quantum Computing
    • Data Science Clinic
    • Entrepreneurship in Technology
    • Multivariate Statistical Analysis
    • Introduction to Database Systems
  • 2020.09 - 2024.06

    Barcelona, Spain

    Bachelor of Science
    Universitat Pompeu Fabra
    Mathematical Engineering on Data Science
    Honors:
    • Numerical Methods
    • Machine Learning
    • Signals & Systems I
    • Probability
    • Operating Systems

Awards

Skills

Python
PyTorch
C
C++
Java
JavaScript
Matlab
R
Docker
Git
Linux
SQL
AWS
Spark

Languages

Spanish
Native speaker
English
Fluent
Catalan
Native speaker

Interests

Mathematics
Machine Learning
Reinforcement Learning
Natural Language Processing
Deep Learning
Statistics
Entrepreneurship
Artificial Intelligence
Data Science
Innovation