About

Joseph Avila

Data Scientist | Backend Developer | MLOps Engineer

Hi there! I’m Joseph, a passionate developer specializing in data science, machine learning, and software architecture. With expertise in Python, Clojure, Go, and cloud technologies, I focus on creating scalable solutions that combine data analysis with robust engineering.

🚀 What I Do

Currently working as a Data Scientist at Banco Guayaquil, where I apply advanced machine learning techniques to solve complex business problems. My experience spans from web application development to implementing MLOps pipelines on AWS.

Featured Experience

🏦 Banco Guayaquil - Data Scientist (Feb 2025 - Present)

• Developing machine learning models for financial analysis
• Implementing scalable data pipelines

💼 Dátil - Software Engineer (Nov 2021 - Jan 2025)

• Resolved critical issues in Django/Python dashboards
• Developed frontend applications with Reagent/ClojureScript
• Built REST APIs in Clojure with 50% performance improvements
• Implemented agile methodologies improving deployment time by 30%

🚀 Vanward Partners - Founding Engineer (Jun - Dec 2024)

• Designed and built Horus, an AI-driven risk intelligence platform for AML
• Full stack: Python, FastAPI, PostgreSQL, with integrated ML
• Implemented entity-matching systems and custom risk scoring pipelines

🎓 Research & Academia

As a Research Assistant at ESPOL (2019-2023), I specialized in:

• Transport phenomena simulation in hydrogen fuel cell applications
• Development of tortuosity search algorithms in porous media
• Publication of indexed scientific articles

🏆 Achievements & Recognition

• 🌟 Space Apps 2021 Global Winner - NASA Space Apps Challenge
• 🥇 1st Place - Pyweekend ESPOL (Microstructures Category)
• 🥉 3rd Place - DataJam ESPOL
• 📜 Research Merit Awards - Indexed publications (Silver & Bronze)

🛠️ Tech Stack

Programming Languages

• Python - Primary language for DS/ML
• Clojure/ClojureScript - Functional programming
• Go - Distributed systems
• Java - Android development

Cloud & DevOps

• AWS (Certified Solutions Architect & DevOps)
• Docker & Kubernetes
• CI/CD Pipelines

Data & Machine Learning

• MLOps - Model deployment and monitoring
• Data Analysis - Actionable insights
• Data Modeling - Scalable architectures

Databases

• PostgreSQL, MySQL
• Datomic - Functional database

📚 Publications

My research has been published in international journals, focusing on:

• A* algorithms for geometric tortuosity analysis
• Malware detection using CNNs and API call visualizations
• Alternative methodologies for 2D porous media analysis

🌱 Beyond Code

When I’m not coding, you’ll find me:

• Organizing events at Google Developer Groups (GDG)
• Contributing to the local tech community
• Exploring new technologies and frameworks
• Sharing knowledge on my blog

📫 Let’s Connect

• 📧 Email: josdavilalvarez@gmail.com
• 💼 LinkedIn: linkedin.com/in/josephinoo

“The intersection of data, technology, and innovation is where I find my passion. Every line of code is an opportunity to solve real problems and create positive impact.”