Experience

Software Developer Intern / SoundAround / Jun 2019 – present
Developing software for new wearable devices. Training and testing machine learning models (in Python using Keras, Tensorflow, and more) for wake word recognition and speech analysis. Implementing machine learning algorithms efficiently (in Java) to meet processing and energy constraints in lowpower devices.

CS152 Teaching Fellow / Harvard University / Jan 2019 – May 2019
Teaching Fellow for Harvard CS152: Programming Languages, which covers the theory, design, and implementation of programming languages. Preparing and holding review sections for students. Holding weekly office hours to answer students’ questions on course materials. Grading and providing feedback on problem sets and exams.

Business Development Intern / Squarelink, Inc. / Jan, 2019

Data Analyst / Bluebonnet Data / May 2018 – present
Data Analyst at a studentled startup with the mission of providing downballot Democratic campaigns with highquality data analysis at a low cost. Providing datadriven insights for effective campaign strategy. Making queries in voter databases to target specific voter demographics. Automating the merging of data between voter databases. Developing software (in R) to automate expectedvoteanalysis calculations on datasets from voter databases. Assisting in the creation (using R and Shiny) of a webbased platform to provide campaigns access to useful voter analysis tools. Producing reports on vote projections for diverse campaign strategies.

Machine Learning Research Laboratory Assistant / University of North Texas / Jun 2016 – Aug 2016
Collaborated in the design of an algorithm capable of extracting key phrases from scholarly articles that was three and a half times more likely than competing algorithms to identify relevant words from a given scholarly article. Wrote an optimized, multithreaded implementation of the algorithm in Java with Weka to facilitate fast and efficient key phrase tagging for large datasets.
Education

Harvard University, 20172021
Relevant Coursework: [Spring 2019] Data Structures and Algorithms. [Past] Introduction to Theoretical Computer Science; Applied Algebra (used SageMath Pythonbased mathematics language); Introduction to Probability; Principles of Economics (Macro/Micro); Programming Languages (used OCaml, Haskell, Datalog/Prolog); Systems Programming and Machine Organization (used C, x86/x8664 Assembly); Mathematics for Computation, Statistics, & Data Science (used R); Linear Algebra & Real Analysis I.

Texas Academy of Mathematics and Science (TAMS) at the University of North Texas (UNT), 20152017
An early college program for 11th and 12th graders to obtain two years of college credits at UNT.  SAT I: Math 790, Verbal 760. SAT II: Math 800, BiologyM 800. GPA: 4.0 / 4.0.  Relevant Coursework: Computing Foundations I (Data structures and formalisms in CS, used C++); Special Problems in Computer Science (Research course, used Java); Differential Equations I; Multivariable Calculus.

Skills
Programming: C++/C (4+years, expert), Java (4+ years, intermediate), R (1 year, intermediate), Python (6 months, intermediate), OCaml (6 months, intermediate), SageMath PythonBased Mathematics Language (6 months, intermediate), x86/x8664 Assembly (6 months, novice), Swift (6 months, novice), Haskell (1 month, novice), Prolog (1 month, novice)
Tools: Visual Studio Code, Eclipse, Android Studio, Xcode, RStudio, GDB, Valgrind, LaTeX, Excel, PowerPoint, Word
Operating Systems: macOS, Linux, Windows
Relevant Coursework:
(Harvard): Spring 2019: Data Structures and Algorithms, Probability and Random Processes with Economic Applications. Past: Introduction to Theoretical Computer Science; Applied Algebra (used SageMath Pythonbased mathematics language); Introduction to Probability; Principles of Economics (Macro/Micro); Programming Languages (used OCaml, Haskell, Datalog/Prolog); Systems Programming and Machine Organization (used C, x86/x8664 Assembly); Mathematics for Computation, Statistics, & Data Science (used R); Linear Algebra & Real Analysis I.
(UNT): Computing Foundations I (Data structures and formalisms in CS, used C++); Special Problems in Computer Science (Research course, used Java); Differential Equations I; Multivariable Calculus.
Honors
National Merit Finalist ● National Hispanic Scholar ● UNT President’s List (4 semesters) ● $3,000 TAMS Summer Research Scholarship