Specialized Python Developer and Machine Learning Engineer with 4+ years of experience in AI/ML model development, LLM implementation, and cloud-native solutions. Currently focused on training ML models with real-world data, implementing LLM-based solutions and developing end-to-end AI systems.
Hey 👋 I am a Python Developer & Machine Learning Engineer currently based in Ciudad Guzmán, Jalisco, Mexico. I graduated with a degree in Computer Systems Engineering in Artificial Intelligence from Tecnológico Nacional de México.
I have 4+ years of experience in AI/ML model development, LLM implementation, and cloud-native solutions. I'm highly experienced with the AWS ecosystem (EC2, S3, SageMaker, Lambda), PostgreSQL, and Docker with a proven track record of improving model accuracy and system performance.
Currently focused on training ML models with real-world data, implementing LLM-based solutions and developing end-to-end AI systems with web scraping and data collection. I'm passionate about building scalable AI solutions that solve real-world problems and create meaningful impact.
A journey through innovative companies and cutting-edge technologies
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A showcase of innovative solutions and cutting-edge technologies
Professional real estate AI prediction system with 61% accuracy (R²) using neural networks trained on 3.9M Zillow transactions. Production-ready FastAPI with rate limiting, beautiful web interface, and 82 engineered features. Perfect for investment analysis, portfolio optimization, and algorithmic trading strategies.
Designed and developed a fully responsive, modern landing page for an architecture firm using cutting-edge web technologies. Features clean, professional design with optimized user experience, mobile responsiveness, and performance optimization for maximum client engagement.
Demonstrates lightweight fine-tuning techniques using the Hugging Face PEFT library. Adapts the DistilBERT model for emotion classification using Parameter-Efficient Fine-Tuning (PEFT) through Low-Rank Adaptation (LoRA). Achieved 79.95% accuracy improvement from initial 59.70% through hyperparameter optimization.
Real-time emotion analysis system using computer vision and the DeepFace library to enhance classroom engagement. Provides comprehensive insights into student emotions to support better teaching strategies and improve learning outcomes through intelligent monitoring.
A modern web-based compiler for the Automata Language (.af) featuring a complete compilation pipeline from lexical analysis to x86 assembly generation. Built with Python Flask and designed for educational purposes and portfolio demonstration, showcasing advanced compiler construction and web API development.
Interested in collaborating or discussing innovative AI/ML solutions? I'd love to hear about your project and explore how we can work together to create something amazing.