Miquel Gómez Corral

Experiences

Build pipelines and automation processes that save the company time and money.
Agent orchestration, LLM integration, and file management across production workflows.
Contribute AI knowledge to improve existing company processes and develop new solutions.

Studied client needs and data.
developing AI models from scratch.
researching technologies the company required.
Fine-tuning of language models and computer vision systems.
Completed my bachelor's thesis on OCR models and document information extraction.

Develop web applications using React and Next.js.
Component and library management.

I created the company's landing page and an internal application for employees.

During my internship, I learned to manage and develop extensions for Microsoft's ERP 'Navision'.

On this page I have made my image editing skills available to a variety of clients, with clients from all over the world. My work varied from client to client, but some examples are: Images for product promotion, photo and portrait retouching or image creation for digital marketing (Amazon).

At Punt I Seguit, I had the opportunity to teach students from 1st year of ESO to 2nd year of Bachillerato, reinforcing their learning to improve their grades. In addition to that, and motivated to teach, since I entered university I have taught other classmates in a formal way.

During the summer months, I worked as a waiter at the karting restaurant in my hometown.

During the summer months, I worked as a kitchen assistant at the Papi Beach snack bar in my hometown.

Studies

At the MUIARFID, I have deepened my knowledge in artificial intelligence, machine learning, computer vision, pattern recognition and other advanced AI skills. I have also had the opportunity to work on real-world projects and collaborate with industry professionals.

During my academic exchange in Switzerland, I learned how to create AI models, advanced algorithms, and data analysis. All with a practical as well as a theoretical approach. At the same time, I have been able to practice and improve my English by interacting with people from all over the world.

At UPV, I have learned everything from the basic concepts of computing to how to develop applications and use artificial intelligence. All of this, while achieving excellent grades and receiving awards for it. During this process, I have participated in various university activities such as sports championships, student delegation, or as a tutor.

During my adolescence, I studied at IES Almenara, the institute in my town. I completed compulsory secondary education (ESO) and the scientific baccalaureate with the aim of taking the university entrance exams.

Certifications & Awards

Course covering Deep Reinforcement Learning from beginner to expert. Explores theory and practice using libraries like Stable Baselines3 and CleanRL, training agents in unique gym (Gymnasium) environments and publishing them on the HuggingFace Hub.

Best academic record award in my cohort for the 2022--23 academic year.
ARA distinction (High Academic Performance) in the degree programme.
+20 honours distinctions in my Bachelor's and Master's degrees.
Honours mention for the Bachelor's thesis (TFG).

TurboMino: Tetris AI Bot with PPO + CNN + RoPE

Apr 2026

In progress

Tetris agent trained with PPO (Stable-Baselines3) on a custom Gymnasium environment. Uses CNN with Rotary Position Embeddings (RoPE), bit-packed uint32 board representation, exhaustive placement search via BFS, and interactive Pygame visualization.

AI

Jupyter

NumPy

Pandas

Pygame

Python

PyTorch

Reinforcement Learning

String art

Feb 2025

Finished

From pixels to lines. This algorithm transforms raw numbers into patterns that resemble art. Start from one point, evaluate all possible lines, and draw the one that improves the image the most. Repeat until you're done!

Git

JavaScript

Next.js

React

Tailwind CSS

TypeScript

Multimodal Sexism Detection in Memes

Mar 2026

Finished

Multimodal model fusing text (XLM-RoBERTa), physiological signals (EEG, eye tracking, heart rate), and video embeddings (Qwen VL) to classify TikTok memes as sexist or not. Uses CrossModalAttention, GatedTextFusion, and SoftLabelLoss (KLDiv over annotator distributions). Achieves 80.6% macro F1.

AI

HuggingFace

Jupyter

NumPy

OpenCV

Pandas

Python

PyTorch

Sklearn

Custom Viola-Jones Face Detection from Scratch

Mar 2026

Finished

Custom Viola-Jones face detection system with a parallelized Haar cascade classifier. Trained via AdaBoost with hard negative mining on WIDER FACE. Supports Numba JIT (5-10x speedup) with a threaded NumPy fallback. Real-time webcam detection included.

AI

Jupyter

LaTeX

Matplot

NumPy

OpenCV

Pandas

Plotly

Python

Sklearn

Missing-Data-Robust Medical Imaging Model

Apr 2026

Finished

3-stage pipeline: self-supervised pretraining on BraTS (brain tumor segmentation), survival prediction training on UPenn-GBM (glioblastoma), and testing. Uses deep learning architecture with YAML config, editable install, and multi-GPU support via PyTorch Accelerator.

AI

Jupyter

LaTeX

NumPy

Pandas

Plotly

Python

PyTorch

Sklearn

Missing-Data-Robust Medical Imaging Model

Apr 2026

Finished

3-stage pipeline: self-supervised pretraining on BraTS (brain tumor segmentation), survival prediction training on UPenn-GBM (glioblastoma), and testing. Uses deep learning architecture with YAML config, editable install, and multi-GPU support via PyTorch Accelerator.

AI

Jupyter

LaTeX

NumPy

Pandas

Plotly

Python

PyTorch

Sklearn

Technologies

Python

NumPy

Sklearn

PyTorch

XG Boost

Reinforcement Learning

HuggingFace

LangChain

OpenCV

RAG

Vercel AI SDK

Prompt Engineering

Braintrust

AI

Agents

MCP

Pandas

Matplot

Plotly

FastAPI

SQL

TypeScript

JavaScript

Java

C

C ++

C Sharp

React

CSS

Html

Tailwind CSS

Zustand

Next.js

Node.js

Docker

GitHub

Linux

Jupyter

Haskell

Prolog

Risc-V

Unity

Pygame

Photoshop

Premiere

Mathematica

LaTeX