Hey, I'm Maximiliano Barrios López
Software Engineer — Android · Backend · Full Stack · Applied AI
I build native Android apps, backend APIs, and web platforms focused on solving real problems. Experience in on-device computer vision, offline-first systems, and production-oriented architecture.
About me
Programmer Analyst & Android Developer
Programmer Analyst graduate from INACAP, focused on the intersection of Android, edge AI, and technology for agriculture. I have taken computer vision models from the lab into the field: estimating grape size with a phone camera, offline, in vineyards across Chile's Valparaíso Region.
I am currently an Android & Edge AI Development Intern at ScaleAI / Anomaly, where I build Kotlin applications, implement local inference with ONNX Runtime, and contribute to mobile computer vision solutions.
My edge is not only technical: I understand real usage contexts, I know a Xiaomi Redmi in the field does not behave like a Pixel in the lab, and I design offline-first architectures because vineyards rarely have reliable connectivity.
On my first AI project, I learned that a model trained on controlled images can fail as soon as shadows, dust, and midday light appear. Since then, my rule is simple: observe the real environment before defining the architecture.
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
Introduction to AI Development — BIG school
SEO for AI and Google — BIGSEO / BIG school
Leadership & Labor Relations Techniques — SENCE
Experience
Professional background
Android & Edge AI Development Intern
- Building native Android applications with Kotlin and Jetpack.
- Implementing local ONNX Runtime inference for image processing.
- Integrating REST APIs and databases while optimizing mobile performance.
- Contributing to computer vision and on-device AI solutions.
Logistics Coordinator
La Quinta Pata al Gato · Viña del Mar, Chile
- Managed inventory through digital management systems.
- Supervised operations and generated data-driven reports.
- Ensured procedural compliance and maintained technical documentation.
- Optimized logistics workflows through KPI tracking and analysis.
Methodology
How I approach a project
I do more than write code. I solve real problems with technical decisions that can be explained, tested, and maintained.
I understand the problem before writing code
On the grape project, I spent the first two weeks observing how agronomists manually measure grape size before defining the architecture. I do not design from a desk; I design around the place where the software will actually be used.
I design offline-first when the context demands it
Vineyards rarely have reliable connectivity. The app needs to work offline for hours and sync data when the network returns. That changes both the data architecture and the user experience.
I measure before optimizing
I use Android Profiler, ONNX Benchmark, and Lighthouse to make decisions from data, not assumptions. I prefer an app that performs reliably on a Xiaomi Redmi over one that only looks good on a lab Pixel.
I document for the next developer
Each project includes a technical README, architecture decisions, and diagrams so another developer can understand and maintain it without depending on my memory.
Publications
Research & articles
ScaleAI — R&D Project · April 2026
In progressAndroid Edge AI System for Estimating Grape Size and Quantity
Development of an Android application powered by Edge AI to estimate grape size and quantity with 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, with conversion-focused design, a mobile-first structure, and automated deployment on Vercel.
- 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 estimating grape size and quantity. Native 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 Pickup System
Digital benefit pickup system with kiosk, security, and HR modules. QR validation, microservices, and complete UML/BPMN documentation.
- Modules: Kiosk, Security & HR
- QR code validation
- Microservices architecture
- UML & BPMN documentation
Impact
What I've achieved
Practical outcomes and technical decisions that create real value.
Local inference
ONNX Runtime runs models directly on the mobile device, without requiring an internet connection.
Private project under NDA
Offline-first architecture
The computer vision app works offline and syncs data when the network becomes available again.
Internally validated
Real-time processing
Real-time crop image analysis using the camera on an Android device.
Internally validated optimization
Modern web
Web platform with automated Vercel deployment, a mobile-first structure, and performance-focused implementation.
Active development
Validation
How others describe my work
Max demonstrated a strong ability to integrate AI models into Android with measurable results. His work on local ONNX inference reduced the project's dependency on field connectivity, which was critical for the operation.
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 turn complex requirements into clear UML diagrams made communication easier between the technical team and stakeholders.
Project instructor, INACAP
Capstone Project — TMLUC
Skills
Tech stack
Mobile & Edge AI
Frontend
Backend & Tools
Kotlin / Android
React / JavaScript
Python / Backend
ONNX / Computer Vision
SQL / NoSQL / Room
REST APIs / Microservices
Git / Docker / Linux
UML / BPMN / Analysis
Technology you can see
From Android with Kotlin to Edge AI with ONNX Runtime. Every project I build combines technical precision with a polished user experience, designed for real-world conditions.
Interactive 3D
A 3D scene enhances this section on capable devices.
Certifications
Verifiable credentials
Certificates, verifiable records, and academic documents. When a PDF is available, it can be reviewed in-page or downloaded when needed.
6
technical credentials and courses
4 / 67
INACAP graduation rank
6.2
verifiable academic grade
SENCE record
Verifiable SENCE record
SENCE
Leadership & Labor Relations Techniques
Course registered with SENCE. The diploma is not currently available, so it is shown as a verifiable record rather than as a downloadable document.
2025
GitHub
Recent repositories
Contact
Let's work together
Get in touch
Have a project or opportunity in mind? I'm open to junior roles, internships, and collaborations in mobile, Edge AI, and web development.
Quick profile
AvailableViña del Mar / Santiago, Chile
Remote across overlapping time zones · Hybrid in Valparaíso or Santiago
Core stack
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Download my CV or reach out on LinkedIn to move the process forward.
I'm a client
Tell me about your project and I'll follow up with a clear next step.