Skip to content
View Raquezin's full-sized avatar
2 followers · 20 following

Achievements

Achievement: Pull Sharkx2Achievement: YOLOAchievement: Pair ExtraordinaireAchievement: Quickdraw

Achievements

Achievement: Pull Sharkx2Achievement: YOLOAchievement: Pair ExtraordinaireAchievement: Quickdraw

Highlights

  • Pro

Block or report Raquezin

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.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. 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
raquezin/README.md

About Fernando

💡 TL;DR

I'm a student passionate about programming, mathematics, AI and computers, but above all I love learning and I enjoy building things.

In my free time, I like kayaking.

Best with: Python 3 · SQL · Linux · Data Structures · Algorithms

Familiar with: AI / ML · MongoDB · C · React/Typescript

Main achievements

  • Admin of the Algorithms Club at the University of Seville.
  • I won second place in the Andalusian Informatics Olympiad(OIA).
  • Third place at the 30th edition of Startup Weekend, and received a mention in the INCIBE Cybersecurity competition.

My builds

  • PalistApp: A platform for tracking and viewing results, races, and competitors in Spanish canoeing/kayaking (piragüismo) events.
    • My biggest project so far (since April 2025).
    • Data collection: Scraped all available data.
    • Data validation: Cleaned for accuracy issues.
    • Database: Saved in PostgreSQL.
    • Backend: Built a Go API for low-latency performance.
    • Frontend: Developed with React/TypeScript + Vite.
    • Achieved: ~100,000 requests processed in 4 days.
  • Matrix Library: A C implementation of a matrix library from scratch.
    • Core purpose: Essential for understanding linear algebra, critical for machine learning algorithms.
    • Current status: Under development.
      • Supports basic operatitons like: addition, multiplication and determinant calculation.
      • Optimized methods like PLU decomposition are being implemented; more features will follow.
  • Snake Algorithm: A C implementation of the classic Snake game with a greedy algorithm.
    • Purpose: Practice algorithm design and problem-solving.

More builds: Available on my GitHub.

Experience (TS;DR)

  • CTO HomiMatch (Nov 2025 - Present): Developing the app, IOS & Android.
  • Intern University of Seville (Oct 2025 - Present): Department of Electronic.
  • Teacher AcademiaConoser (Nov 2025 - Jan 2026): Communication and Algorithms.

How I Work

  • Gets me pumped: AI problem-solving, overcoming difficult challenges.
  • Disappoints me: Complex, unnecessary frameworks and arrogance in teamwork.
  • Strengths: Fast Learner.
  • Improvement points: Limited experience in Cloud Infrastructure.
  • Known behaviours: Inbox-zero, formatting, too much Linux.

Pinned Loading

  1. matrix_library matrix_library Public

    A C library for working with matrices, just for fun.

    C

  2. C-DSA C-DSA Public

    Data Structures and Algorithms in C

    C

  3. Snake_algorithms Snake_algorithms Public

    Snake in C, with a greedy algorithm

    C