Luis Fernando Chavez - Python Developer & ML Engineer

Here is a little background

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.

My Work Experience

A journey through innovative companies and cutting-edge technologies

WG

Machine Learning Engineer

Willow Group • New York

November 2024 - Present • Part-time

Increased real-time classification accuracy by 60% within 2 months by designing and implementing a serverless carbon emissions backend using AWS Lambda and OpenAI integration. Improved code organization and maintainability within 1 month by refactoring the codebase, consolidating Lambda functions into a structured repository with clear folder divisions. Implemented LLM-based classification systems for advanced NLP tasks, utilizing custom model architectures and fine-tuning techniques to achieve superior accuracy in text classification and prediction tasks. Developed comprehensive data collection pipeline combining web scraping, data preprocessing, and feature engineering to create robust training datasets for predictive models.

CG

Generative AI Extern

Cognizant • Remote

June 2024 - August 2024 • Internship

Participated in a hands-on learning externship focused on the fundamentals of generative AI and its practical applications. Studied and applied deep learning concepts, including foundation models and parameter-efficient fine-tuning (PEFT). Customized pre-trained models for specific tasks using tools like PyTorch and Hugging Face.

RC

Python Developer

TheRocketCode • CDMX, Mexico

January 2024 - July 2024 • Full-time

Designed and developed predictive models for a Telegram bot, focusing on improving user engagement and prediction accuracy. Implemented machine learning algorithms and optimized model performance. Managed the migration of the project infrastructure from Heroku to AWS, improving deployment efficiency and system scalability.

AD

Data Consultant Trainee

Alldatum • CDMX

November 2023 - January 2024

Created and documented data models, enhancing the efficiency of system architecture. Implemented data governance policies to ensure data integrity and compliance with industry standards. Conducted data profiling and quality assessment to identify and resolve discrepancies.

AF

Full Stack Developer

AFDevelopment • Ciudad Guzmán, Jalisco

February 2020 - October 2023 • Internship

Developed a full-stack Java application for cryptocurrency management, focusing on secure database connections and user authentication. Led the migration of the application to a Django-based platform, integrating real-time data analytics and deploying it on Azure containers.

Technical Skills

HOVER OVER A SKILL FOR CURRENT PROFICIENCY LEVEL

AI/ML & Data Science

Python

TensorFlow

PyTorch

Scikit-learn

Keras

Pandas

NumPy

Matplotlib

Seaborn

Plotly

SciPy

Hugging Face

OpenAI

Gemini

NLTK

spaCy

OpenCV

DeepFace

Cloud & DevOps

AWS

GCP

Docker

Git

Linux

CI/CD

Backend & Databases

Django

Flask

FastAPI

PostgreSQL

MySQL

MongoDB

SQL

SQL Server

SQLAlchemy

DynamoDB

Bash

Web Development

JavaScript

HTML/CSS

Bootstrap

REST APIs

Java

Data Engineering & Methodologies

Web Scraping

Data Collection

ETL Pipelines

Scrum

Agile Development

Some of My Recent Work

Featured Projects

A showcase of innovative solutions and cutting-edge technologies

Real Estate AI Prediction System

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.

Python Neural Networks FastAPI Machine Learning Data Engineering Zillow API

View Code Live Demo

Architecture Firm Landing Page

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.

HTML5 CSS3 JavaScript Responsive Design UI/UX Design

Live Site

Lightweight Fine-Tuning with PEFT and DistilBERT

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.

Python DistilBERT LoRA Hugging Face PEFT NLP

View Code

Smart Classroom - Emotion Analysis

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.

Python OpenCV DeepFace Computer Vision Real-time Processing

View Code

Automata Language Compiler API

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.

Python Flask Compiler Design LR Parsing x86 Assembly Web API

View Code Live Demo

Get In Touch

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.

Email Address

contact@lfchavez.com

Phone Number

+52 341 111 0005

Location

Ciudad Guzmán, Jalisco, Mexico

LinkedIn Profile

Let's Connect

I'm Luis Fernando, and I'm passionate about AI