Hey, I'm Maximiliano Barrios López
Full Stack Developer · Android & AI · Backend & Databases
I build Android apps with on-device AI, full stack web platforms and robust APIs. From estimating crops with the phone camera to designing backend architectures with scalable databases. I'm driven by solving real problems with clean code and well-founded technical decisions.
About me
Programmer Analyst & Android Developer
Programmer Analyst graduated from INACAP, specialized at the intersection of Android, edge AI, and agriculture. I've taken computer vision models from the lab to the real field: estimating grape size with a phone camera, offline, in a vineyard in Chile's V Region.
I'm currently an Android & Edge AI Development Intern at ScaleAI / Anomaly, where I build Kotlin apps, implement local ONNX Runtime inference, and contribute to on-device computer vision solutions.
My differentiation isn't just technical: I understand agricultural context, I know a Xiaomi Redmi in the field doesn't behave like a lab Pixel, and I design offline-first architectures because I know vineyards don't have WiFi.
On my first AI project I made the mistake of training a model with studio images, only to discover in the field that midday shadows ruined accuracy. Since then, my golden rule is: two weeks of on-site observation before writing a single line of architecture.
Last updated: May 13, 2026
Education
Programmer Analyst
INACAP — 2025
INACAP Support Scholarship
Network Administration
Duoc UC — 2014 (Incomplete)
Courses
Initial App Development — INACAP
Secure IT Infrastructure — INACAP
Full Stack — INACAP
Leadership & Labor Relations — SENCE
Experience
Professional background
Android & Edge AI Programmer Analyst Intern
- Developing native Android apps with Kotlin and Jetpack.
- Implementing local ONNX Runtime inference for image processing.
- Integrating REST APIs, databases, and optimizing mobile performance.
- Contributing to computer vision and on-device AI projects.
Logistics Coordinator · La Quinta Pata al Gato · Mar 2023 — Mar 2024
Managed inventory through digital management systems.
Methodology
How I approach a project
I don't just write code. I solve real problems with well-founded technical decisions.
I understand the problem before writing code
On the grape project, I spent the first 2 weeks observing how agronomists manually measure size before defining the architecture. I don't design in an office — I design in the field where it will be used.
I design offline-first when the field is involved
Vineyards don't have WiFi. The app must work without connection for hours and sync data when network is available. This completely changes the database architecture and UX.
I measure before optimizing
I use Android Profiler, ONNX Benchmark and Lighthouse to make data-driven decisions, not opinion-based ones. I'd rather have an app that works on a Xiaomi Redmi than on a lab Pixel.
I document for the future team
Every project includes a technical README, architecture decision records (ADRs) and diagrams so another developer can maintain it without depending on my memory.
Publications
Research & articles
ScaleAI — R&D Project · April 2026
In developmentAndroid Edge AI System for Grape Size and Quantity Estimation
Development of an Android application powered by Edge AI for grape size and quantity estimation using Computer Vision and ONNX Runtime.
- Local ONNX Runtime inference on mobile devices
- Image processing and mobile performance optimization
- Kotlin + JNI + native C++ integration
- Offline-first architecture with data sync
Projects
Featured work
Jan 2026 — Present
Web Detailing Platform
Responsive web platform for automotive detailing services. Modern conversion-oriented design, mobile-first structure, automated Vercel deployment.
- Modern responsive UI design
- Mobile-optimized visuals
- Dynamic React components
- Automated Vercel deployment
Apr 2026
Android Edge AI System — Grape Estimation
Android app with on-device ONNX Runtime inference for grape size and quantity estimation. Native integration with Kotlin, JNI, and C++ processing for real-time analysis.
- Local ONNX Runtime inference
- Real-time image processing
- Kotlin + JNI + C++ integration
- Offline-first architecture
Jun — Dec 2025
TMLUC — Digital Benefits Withdrawal System
Digital benefits withdrawal system with kiosk, security, and HR modules. QR validation integration, microservices, and complete UML/BPMN documentation.
- Modules: Kiosk, Security & HR
- QR code validation
- Microservices architecture
- UML & BPMN documentation
Impact
What I've achieved
Measurable results and technical decisions that create real value.
Local inference
ONNX Runtime runs models directly on the mobile device, no internet connection required.
Private project under NDA
Offline-first architecture
The computer vision app works completely offline, syncing data when network is available.
Internally validated
Real-time processing
Crop image analysis in real time using the Android device camera.
Internally validated optimization
Modern web
Web platform with automated Vercel deployment, mobile-first structure and optimized performance.
Active development
Validation
What people say about my work
Max showed great ability to integrate AI models into Android with measurable results. His work on local ONNX inference significantly reduced connectivity dependency in the field, which was critical for operations.
Technical Supervisor, ScaleAI
Edge AI Project — Grape Estimation
He stood out for his commitment to code quality and technical documentation. On the TMLUC project, his ability to translate complex requirements into clear UML diagrams facilitated communication between the technical team and stakeholders.
Project Teacher, INACAP
Capstone Project — TMLUC
Skills
Tech stack
Mobile & Edge AI
Frontend
Backend & Tools
Proficiency
Certifications
Courses & continuing education
Leadership & Labor Relations
SENCE — 2025
Initial App Development
INACAP
Secure IT Infrastructure
INACAP
Full Stack
INACAP
Associate Android Developer
Google — In preparation
GitHub
Recent repositories
Contact
Let's work together
Get in touch
Got a project in mind? I'm open to new opportunities and collaborations in mobile, Edge AI, and web development.
Quick profile
Available nowViña del Mar / Santiago, Chile
Remote from any compatible timezone · Hybrid in Valparaíso or Santiago
Core stack
I'm a client
Tell me about your project and I'll send a proposal within 24 hours.