Hi, I'm Sebastián.
I am a NYC-based computer science professor and developer.
I was born in Mexico City, and later moved to New York, where I studied at NYU.
Although I mostly deal in the introductory and video game programming pedagogy space, I also have experience in areas of computer science.
Outside of work, some of my interests involve learning foreign languages, music, and kyūdō.
You can find me on GitHub if you would like to check out my work.
You can also find me on LinkedIn here, or shoot me an e-mail if you'd prefer.
Technical Skills
Languages
playing with it
i can teach it
fluent
C++
C#
Frameworks and Libraries
OpenGL
Unity
Computer Science
- Master of Science
- Tandon School of Engineering, Class of 2020
- GPA: 3.8
Chemical and Biomolecular Engineering
- Bachelor of Science
- Tandon School of Engineering, Class of 2017
- GPA: 3.4
New York University
- Introduction to Problem Solving and Programming with Python Instructed over 7 sections covering foundational concepts in Python, including control flow, functional decomposition, and data structures through hands-on labs and real-world engineering examples
- Introduction to Game Programming Designed and delivered a project-based Intro to Game Programming curriculum in C++ and OpenGL, teaching game engine essentials such as transformations, physics, and shader programming across 10 semesters.
- Data Structures and Algorithms Instructed the department's second core course, covering asymptotic analysis, searching algorithms, recursions, and foundational data structures such as array lists (including stacks and queues), linked lists, trees, maps, hash tables and priority queues.
Skandinaviska Enskilda Banken (S.E.B.)
Data Science Intern
New York, N.Y. (June 2019 – September 2019)
- Using the Google Places and OpenStreetMap APIs, developed a geocoding program capable of extracting the geometry of the physical assets of 100,000+ global companies across 11 sectors and 70 industries.
- Implemented appropriate pre-processing, filtering, and identity matching algorithms including a custom stop-word remover and a fuzzy-string token matching system towards refining the results.
Pitchfork Review Sentiment Analysis
Project
February 2019 – May 2019
- Lead a team of 5 towards creating an automatic, fully scalable quantitative music scoring service using natural language processing (NLP) of 18,393 music reviews using Apache Spark.
- Developed a logistic regression machine-learning model that maximized the multi-class classification F-measure of the model to 0.383, improving on the original linear regression model.
Hi, I'm Sebastián. (🇯🇵)
NYCで、大学教授兼開発者として働いています。
私はメキシコ出身で、ニューヨーク大学において勉強しました。
初級プログラミングと、ゲームプログラミングの教育の仕事を大体していますが、他の領域に経験もあります。
私の趣味は、外国語の学習、音楽、そして弓道です。
私のGithubにご興味のある方はぜひご覧になって下さい。
LinkedInも、メールもやっています。