As a self-taught enthusiast, I have explored a wide range of topics, from machine learning to sales. I'm quick to adapt, thrive in teams, and have an insatiable thirst for knowledge. Currently, I am seeking roles in big data, ML, AI, and algorithm development to help solve complex problems and further improve my skills.
Machine Learning and Data Engineer - Avantcab, Spain | May 2023 - February 2024
- Developed a taxi service allocation algorithm using greedy and genetic algorithms; built a full-stack scheduling app with Vue.js and Python/Flask.
- Automated traffic agent functions, created optimal taxi route generation system, and used Docker for consistent deployment; developed a flight delay predictor for improved scheduling.
Frontend Developer - DATOMA, Spain | January 2023 - September 2023 DATOMA
- Led development of a web application for metabolic data processing using Vue.js and PrimeVue; integrated AWS APIs for backend services.
- Enhanced user interaction and engagement through seamless user authentication with AWS Cognito.
Freelance Web Developer - Home, Spain | January 2021 - January 2023
- Designed, developed, and maintained diverse web applications for various clients; used React, Google Firestore, JavaScript, HTML, CSS, and WordPress.
- Delivered aesthetically pleasing, highly functional applications tailored to client requirements and preferences.
Student Grade Predictor - UDE, Germany | November 2023 - March 2024
- Created a full-stack web application with visual analytics dashboards and a MongoDB database for monitoring student performance.
- Developed a predictive model using Lasso Regression and integrated it into a seamless Vue.js front-end and Python/Flask back-end.
- Project Link: Student Grade Predictor
Sleep Tracker System - UDE, Germany | February 2024 - Present
- Built an advanced sleep tracker with hardware/software integration and MQTT data streaming; designed a dual-database system using MongoDB and InfluxDB.
- Deployed an LSTM machine learning model for sleep stage prediction and developed a notification system for optimal wake-up times.
- Project Link: HeartBeatDevice
LightFM Recommender System - UDE, Germany | November 2023 - December 2023
- Developed a movie recommendation system, created user-item interaction matrix, and optimized computational efficiency with a sparse matrix.
- Trained and evaluated the LightFM model using WARP loss, generating top movie recommendations for users.
- Project Link: LightFM Recommender System
Quick Frame Startup - Home, Germany | January 2024- Present
- Created a video generation app for social media with machine learning algorithms for peak sound detection and computer vision for key segment identification.
- Built a robust front-end with Vue.js and back-end with Python/Flask; deployed on Digital Ocean for scalability and enhanced user experience with automated editing features.
Machine Learning:
Backend:
- Python, Java, C, Flask, Redis, Kafka, InfluxDB, MongoDB, Apache Flink
- HeartBeatDevice
- Movie Recommender Java
- Agencia Viajes Node
- SDPrac2
- Python Automation
- SDPrac1
- TAPPrac1
- Grid Computing
- APV MERN Backend
Frontend:
- JavaScript, Vue.js, React, PrimeVue, MaterialUI
- DATOMA
- Expenses Tracker
- APV MERN Frontend
- Agencia Viajes Node
- Personal Portfolio
- React Brew
- React News
- API Weather
- Car's Insurance Trader
- Product Hunt
- Guitar LA - Next.js
- Guitar LA - Remix.js
- CRM React v2
- React Cryptos
- React Clients
- FIT APP
- YouTube Clone
Other Technologies:
- Assembler, TensorFlow, Keras, Hadoop, Scikit-Learn, Pandas, NumPy