Full Stack / Backend Developer · RAG & Automation Builder

Programming spaghetti always — but making it scalable, documented, and useful.

I'm a Computer Engineering graduate from Universidad Autónoma de Baja California and currently pursuing a Master's degree in Computer Science, focused on data analysis, machine learning, and academic performance prediction.

My background is mainly in software development, especially backend development, ERP customization, automation, and full-stack systems. I like building practical tools that solve real workflow problems: APIs, Odoo modules, internal automations, dashboards, reports, mobile apps, and AI-assisted retrieval systems.

Recently, I built a Hybrid Search RAG Pipeline that retrieves medical codes from documentation by combining semantic search, keyword search, embeddings, and ranking logic.

• Hybrid Search RAG systems for medical-code retrieval and documentation analysis
• Odoo 11 to Odoo 18 migrations, custom modules, reports, wizards, and workflow automation
• Backend APIs with Python, Flask, FastAPI, PostgreSQL, and REST integrations
• Roombun, a shared household app for groceries, pantry tracking, expiration reminders, and shared expenses
• Academic risk prediction using machine learning, Markov chains, and student trajectory data

A retrieval-augmented pipeline that returns relevant medical codes based on clinical or administrative documentation.

Built with:

• Python
• Embeddings
• Semantic/vector search
• Keyword search
• Hybrid ranking
• Document chunking
• RAG pipeline design

Focus:

• Medical documentation understanding
• Code retrieval automation
• Better search quality than naive keyword-only retrieval

A household coordination app for roommates, couples, families, and group trips.

Core idea:

• Shared pantry tracking
• Grocery lists
• Expiration reminders
• Shared expenses
• Household requests

Built with:

• React Native
• TypeScript
• Supabase
• PostgreSQL
• Web deployment

Graduate research project focused on predicting academic risk using student trajectory data.

Areas involved:

• Machine learning
• Educational data mining
• Markov chains
• Classification models
• Student dropout-risk prediction
• Data preprocessing and feature engineering

Production backend work involving Odoo custom development and migration.

Experience includes:

• Custom Odoo modules
• Server actions
• Wizards
• Dynamic views
• PDF, Excel, and Word report generation
• Mail templates and workflow automation
• Legacy Odoo 11 to Odoo 18 migration
• Debugging backend errors and adapting business logic

I tend to build projects around:

• Backend automation
• AI retrieval systems
• Developer tools
• ERP workflows
• Mobile apps
• Web apps
• Data analysis
• ML experiments
• Weird side quests that start as spaghetti and become useful

Some public repositories include:

• bunflow
• runim
• nlp-parsing-test
• Assembly-C-Tic-Tac-Toe
• esp32QRCodeReaderWeb
• IBM Watson NLU project fork

• Better RAG evaluation
• Hybrid search strategies
• Vector databases
• Production-grade FastAPI systems
• Odoo 18 internals
• React Native product development
• ML model validation
• Cloud deployment and DevOps workflows

Building useful software, one plate of spaghetti at a time.