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  • FIB (UPC)
  • Barcelona, Spain

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Achievement: YOLOAchievement: QuickdrawAchievement: Pull Shark

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AlexBuenoL/README.md

Alex Bueno | Machine Learning Engineer

🚀 About me

Graduated in Computer Science and MSc in Data Science student at UPC. My projects combine a hybrid approach of Machine Learning & Deep Learning solutions with robust Software Engineering practices.

  • 🔭 Currently working: Optimization of Multimodal Transformer model (LLM/ViT) using PEFT techniques (LoRA/QLoRA).
  • 🧠 Specialization areas: Machine Learning, Deep Learning, Fine-Tuning, RAG, Computer Vision, MLOps.

🛠️ Technological Stack

Area Technologies
ML & DL Scikit-learn, PyTorch, Hugging Face (Transformers, PEFT), RAG, MLP, CLIP
Data Engineering SQL, ETL Pipelines, Docker, MinIO, ChromaDB (Vector DB)
Core Engineering Python, C++, Java, Linux, RESTful APIs, Git

📫 Contact

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  1. Multimodal-DataOps-with-Fine-Tuned-CLIP-for-RAG Multimodal-DataOps-with-Fine-Tuned-CLIP-for-RAG Public

    Developed a DataOps platform to ingest and preprocess scalable, multimodal data, using a layer-based architecture stored in MinIO over Docker. An LLM/ViT transformer model (CLIP) was integrated to …

    Jupyter Notebook

  2. Alternate-MLP-optimization-algorithms Alternate-MLP-optimization-algorithms Public

    Project developed as a Computer Science Bachelor's Thesis at UPC, in which alternate optimization algorithms for training MLP are developed.

    Python

  3. Time-Series-Forecasting Time-Series-Forecasting Public

    This repository contains the end-to-end machine learning pipeline developed for the HP Data Science Internship selection process. The main objective is to forecast 15 weeks of sales for different c…

    Jupyter Notebook

  4. ACME-FLying-ETL ACME-FLying-ETL Public

    This projects implements an ETL for ACME Flying data. It extracts and transform operational data from AMIS and AMOS databases, and CSV files with information about aircrafts and personnel.

    Python 1

  5. CNN-Image-Classification CNN-Image-Classification Public

    This project explores the use of convolutional neural networks (CNNs) for binary image classification, specifically detecting whether a person in an image is smiling. Implemented with PyTorch

    Python 1

  6. FlyNExplore FlyNExplore Public

    This is a full-stack web application using React, Flask API REST and SQLAlchemy that helps users find the cheapest flights based on specific criteria, such as travel dates, origin and destination c…

    JavaScript 1