nilm9 / react-clients

client organizer with react

Hi there, it's Nil 👋

AI MASTERS STUDENT | MACHINE LEARNING ENTHUSIAST | FULL STACK DEVELOPER

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.

                 

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🚀 Professional Work Experience

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.

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📚 Academic Work Experience

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.

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🛠 Skills

Machine Learning:

• Supervised Techniques
• Deep Learning
• Computer Robot Vision
• Statistics & Data Wrangling

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