Skip to content
View inogii's full-sized avatar
🚀
🚀

Highlights

  • Pro
Block or Report

Block or report inogii

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
inogii/README.md

Hey! 👋

I'm Iñigo Varas (@inogii) currently studying a MSc in Applied Artificial Intelligence @uc3m. Here you will see the projects that I have developed in the past years and I can publicly share, enjoy the read 😇

🎓 Education

  • uc3m - MSc Applied Artificial Intelligence
  • TUM - (Exchange) MSc Computer Science, MSc in Communications Engineering
  • UPM - BEng in Telecommunication Technologies and Services

📌 Projects

  • Autonomous System Models using BGP Data and GNNs: Performed research in the field of networking, merging the knowledge of BGP Networks —the paramount routing protocol in the Internet— with a cutting-edge Machine Learning methodology utilizing Graph Neural Networks. Implemented an innovative approach to derive essential properties of Autonomous Systems, the integral components within BGP Networks, resulting in profound insights into their behavior and interrelationships
  • lacasademickeymouse: (winning project) Developed as part of the Machine Learning course at uc3m, the primary goal was to create a model that could predict the price of houses to participate in the course's competition. The two key components that made our model outperform others were the usage of state of the art techniques (smote-smogn) and the exploration of non linear relations among our features.
  • Flappy Bird - Deep Reinforcement Learning: Development of a Deep Learning based Agent trained with Reinforcement Learning techniques that is capable of playing the game Flappy Bird. All the modifications done to the original environment can be found here to allow further experimentation. Heavily inspired by Playing Atari with Deep Reinforcement Learning.
  • Balto-ai: Project developed for the TUM-Ai Hackathon (May 2023). The goal of the project was to reduce the language barriers for emigrating workers by automating reporting processes for them. We developed a Telegram bot that could use the employer's and employee's language simultaneously, facilitating the communication between them.

📢 Contacts

  • LinkedIn

Skills

Actively using

Actively using

Foundational knowledge

Foundational knowledge

About me (with links 😁)

Pinned

  1. bthesis bthesis Public

    Autonomous System Models using BGP Data and GNNs

    Python 1

  2. lacasademickeymouse lacasademickeymouse Public

    Regression models for housing price prediction

    Python

  3. coreWatch coreWatch Public

    Digital Systems educational project

    C

  4. dtmf dtmf Public

    DTMF decoder in Matlab implementing Goertzel's algorithm

    MATLAB 1

  5. tum-ai-balto/backend-balto tum-ai-balto/backend-balto Public

    TUM-Ai Makeathon project

    Python

  6. chatbot chatbot Public

    Retrieval Augmented Generation LLM Chatbot

    Python 1