Müsel Emmanuel Tabares Pardo

Müsel Emmanuel Tabares Pardo

AI Programmer | Machine Learning Engineer

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About Me

I specialize in machine learning, deep learning, computer vision, NLP, and optimization. Additionally, I have strong expertise in web development, creating full-stack applications with modern frameworks and technologies. The more complex and difficult a problem is, the more I'm willing to take it on. I dream of becoming the best.

AI & ML Specialist
Full-Stack Developer

Technical Skills

AI & Machine Learning

PyTorch, TensorFlow, Computer Vision, NLP, Deep Learning

Web Development

React, Next.js, TypeScript, Node.js, Tailwind CSS

Education

Erasmus Mundus Master in Advanced Machine Learning and Optimisation Systems

France, Spain, Albania | Current

B.S. in Computer Science, Specialization in AI

Tecnológico de Monterrey | Completed

Experience

Professional journey and work history

Machine Learning Engineer

MoodMe, USA2023-2024

Developed and optimized computer vision algorithms for facial analysis and emotion recognition. Implemented deep learning models for real-time facial tracking and feature extraction. Collaborated with cross-functional teams to integrate ML solutions into production systems.

Data Analyst

CEMEX, Mexico2023

Analyzed large datasets to identify patterns and trends in business operations. Created data visualizations and dashboards using PowerBI to communicate insights to stakeholders. Developed predictive models to forecast business metrics and optimize decision-making processes.

Projects

A selection of my work in AI, machine learning, and web development

Sunny Taxi - Taxi Booking Platform
Sunny Taxi - Taxi Booking Platform
Full-stack web application for taxi booking services with real-time tracking, payment integration, and driver management system. Complete end-to-end solution for transportation services.
React
Next.js
TypeScript
Tailwind CSS
Full-Stack
Medical Automatic Image Left Ventricle Segmentation
Medical Automatic Image Left Ventricle Segmentation
Deep learning model for automatic segmentation of the left ventricle in cardiac MRI images, achieving high accuracy in medical diagnostics.
PyTorch
Computer Vision
Medical Imaging
U-Net
Human Activity Recognition using ML
Human Activity Recognition using ML
Machine learning system that recognizes human activities from sensor data, with applications in health monitoring and fitness tracking.
Scikit-learn
TensorFlow
Time Series
Classification
Deep Learning-Based Hydrological Forecasting
Deep Learning-Based Hydrological Forecasting
Neural network models for predicting water levels and flow rates in rivers, helping with flood prevention and water resource management.
PyTorch
Time Series
LSTM
Environmental Data
Petri‑Net Modelling & Formal Analysis
Petri‑Net Modelling & Formal Analysis
Novel approach combining metaheuristic algorithms with Retrieval-Augmented Generation and Large Language Models for complex optimization problems.
JAVA
PIPE
Modelling
Simulation
NLP Project Collection
NLP Project Collection
Suite of natural language processing projects including sentiment analysis, text classification, and language generation models.
BERT
Transformers
NLP
Hugging Face
Fine-tuning GPT-2 for Personalized Chatbot
Fine-tuning GPT-2 for Personalized Chatbot
Custom implementation of fine-tuning GPT-2 for domain-specific conversational AI with personalized responses.
PyTorch
GPT-2
Transfer Learning
NLP

Get in Touch

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Contact Information

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