Jesus
jbeleno
I am a software engineer in training with a focus on web development and data science
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Top Repositories
Front_gestion is a React-based web interface for an online store, managing products, users, and orders. It integrates Supabase for images/auth and PayPal for payments. Features responsive design and an intuitive user experience.
A modern and elegant web application for a high-end nightclub, built with React.js and designed with a premium Gold and Matte Black theme featuring advanced 3D animations and smooth interactions.
This project is the backend for an online store, providing RESTful APIs for managing products, users, and orders. It is designed to be robust, scalable, and easy to integrate with any frontend.
Simulador de telemetría vehicular en tiempo real con WebSocket. Genera datos sintéticos de vehículos (velocidad, GPS, RPM, temperatura, combustible) y los transmite cada 5 segundos vía WebSocket. Incluye gestión de IMEI y timestamps ISO 8601.
Modern web application for Burdo Neiva restaurant, built with React and optimized for performance and accessibility.
A professional real-time emotion detection system using MediaPipe Face Mesh and OpenCV with a modern, modular architecture.
Repositories
27A modern and elegant web application for a high-end nightclub, built with React.js and designed with a premium Gold and Matte Black theme featuring advanced 3D animations and smooth interactions.
No description provided.
No description provided.
Front_gestion is a React-based web interface for an online store, managing products, users, and orders. It integrates Supabase for images/auth and PayPal for payments. Features responsive design and an intuitive user experience.
A production-ready News App built with Flutter & Clean Architecture. Features Firebase (Firestore/Storage), BLoC/Cubit state management, Optimistic UI updates, and a custom TikTok-style feed. Developed for the Symmetry Applicant Showcase.
This project is the backend for an online store, providing RESTful APIs for managing products, users, and orders. It is designed to be robust, scalable, and easy to integrate with any frontend.
No description provided.
No description provided.
A production-ready RAG chatbot system with hybrid search (local documents + web), conversational memory, and advanced AI features. Built with FastAPI, Ollama, ChromaDB, PostgreSQL, and LangChain. Features reranking, query expansion, caching, async processing, and multiple chunking strategies.
API REST para gestión de biblioteca desarrollada con FastAPI, PostgreSQL y SQLAlchemy. Incluye CRUD completo, búsqueda, filtros y paginación.
No description provided.
Simulador de telemetría vehicular en tiempo real con WebSocket. Genera datos sintéticos de vehículos (velocidad, GPS, RPM, temperatura, combustible) y los transmite cada 5 segundos vía WebSocket. Incluye gestión de IMEI y timestamps ISO 8601.
Modern web application for Burdo Neiva restaurant, built with React and optimized for performance and accessibility.
A professional real-time emotion detection system using MediaPipe Face Mesh and OpenCV with a modern, modular architecture.
No description provided.
ML model to predict streaming churn with 93.47% AUC-ROC using Random Forest, XGBoost and Logistic Regression. Complete analysis of customer retention factors.
front del proyeto de calidad
This project is the frontend for a risk matrix management application, developed with React. It allows administrators and evaluators to manage companies, users, risk matrices, and their associated components.
This project is a backend microservice for managing risk matrices, companies, users, and related entities. It is built with FastAPI and uses PostgreSQL as the database via SQLAlchemy.
This repository contains a microservices-based backend system for managing companies, users, and forms. Built with FastAPI and SQLAlchemy, it provides robust APIs for CRUD operations, authentication, and data validation, supporting modular and scalable business solutions. Each service is designed for clarity, maintainability, and easy integration w
Tools for image data augmentation, dataset splitting, and model testing in image classification projects.
No description provided.
microservicio de formulario
microservicio de evaluacion
No description provided.
No description provided.
trabajo comupatcion en el cliennte