- Hi!, I’m Esteban Vergara Giraldo, or known as @QuitoTactico
- Computer Science student at EAFIT University.
- I’m actually interested in
Data Engineering,Machine Learning,Software DevelopmentandCompetitive Programming. - Continuously learning how to code anything in basically any language, but my favourites are
Python,JavaandC++. - Currently Learning data engineering on Globant as a Trainee, and translating the visual novel of Plastic Memories with a team.
- I’m looking to collaborate on data engineering projects or back-end development.
- How to reach me:
My love For Python 🐍:
I have an extensive repertoire of over 450 Python scripts, focused on competitive programming, web development, automation, API consumption and creation, data engineering, IoT, and the use of artificial intelligence for various tasks.
I have used Python to automate tasks such as file manipulation and data processing, creating scripts that enhance efficiency in repetitive processes, like an RPA for comfortable listening of YouTube playlists. I have also developed data analysis projects, like an anime recommendation system based on the MyAnimeList API, developed solutions to many competitive programming problems in Codewars, and participated in game development, notably creating a Dungeons & Dragons game generator with interactive map and AI usage for image generation and natural language processing, my biggest and coolest project to date, which I'm going to update soon to introduce better practices, a better map engine, and CI/CD.
Additionally, I have worked on web application development using Django, including a movie website, a numeric analysis and linear regression interactive graphicator, an enterprise data interactive graphicator and a tech learning route generator that is a project we made for SoftServe Inc., a real client. With non-opinionated frameworks, I made an Online Store backend using Flask (the usual, but with swagger, smorest, migrations and JWT), also a P2P Chord-based network, and a manual Hadoop Distributed Filesystem (HDFS). Also on framework-less applications, like a shortest route calculator/graphicator system for Medellín's streets, with a Medellín's Metro version developed along Omdena Inc., an international team.
In the field of artificial intelligence, I have implemented models for facial and voice recognition, and I have also explored home automation with a smart curtain system (RaspberryPI) that responds to external light, and for Data Engineering i've worked on a Covid data consumption and analysis with all the AWS and PySpark stack, which I'm currently learning deeper in Globant as a tech trainee in my professional internship.
My experience with Python is diverse, focusing on creating practical and innovative solutions while solving logical challenges that I find satisfying.