Computer Science Engineer focused on turning messy workflows into clean UX, stable software, and systems that hold up in production.
Computer Science Engineer focused on turning messy workflows into clean UX, stable software, and systems that hold up in production.
Portrait
Current Focus
Stack Orbit
Terminal
About / 01
This is the layer behind the resume: the patterns, obsessions, and side interests that keep showing up in how I build.
Portrait, workspace, robotics, or studio visual
How That Shows Up
I like understanding how systems behave under real constraints, then simplifying the experience without losing rigor. The same curiosity that pulls me toward automation and high-performance machines also shows up in product decisions, architecture choices, and small tools I build for fun.
I am most engaged when a problem mixes operational complexity, technical precision, and room to make something cleaner than it was before. That shows up in software, but also in automation, robotics, aircraft systems, military technology, and side experiments built just because the idea is worth exploring.
01
Automation by Instinct
If a workflow feels repetitive or fragile, I naturally start looking for the system behind it and how to improve it.
02
Technical Range with Taste
I enjoy moving between cloud infrastructure, mobile UX, applied AI, and experimental side projects without losing focus.
03
Curiosity Outside the Job
Robotics, fighter planes, defense tech, music production, and coding for fun are not filler interests. They are part of how I think.
Passive Strengths
Signals That Repeat
Real workflows are rarely elegant. I like making them clearer, more reliable, and easier to work with day to day.
Robotics, aviation, and military systems keep my attention because they combine performance, engineering discipline, and real-world constraints.
Coding experiments, automation ideas, and music production keep the creative side of engineering active even when there is no deliverable attached.
Projects / 02
A mix of mobile, cloud, and applied AI work. The structure supports richer media later, including hover video previews where they make sense.
Project Gallery
Designed and deployed an AWS-based pipeline using EC2, Lambda, Step Functions, Athena, S3, and Metabase to process large SII tax datasets and turn them into usable analysis and dashboards.
Built a React Native and PostgreSQL mobile ordering flow for the university environment, reducing average wait times by 23% through a better connection between digital orders and on-campus operations.
Developed a deep learning system with Python, TensorFlow, and OpenCV to detect and classify dental cavities from radiographic images, reaching 88% validation accuracy and an F1-score of 0.84.
Created a party-based web platform with Next.js, Tailwind, and Spotify API that lets users join via QR or code entry, vote on songs, and gives DJs dynamic playlist control.
Evaluated monolithic, microservices, and serverless architectures for agricultural inventory systems in an AWS-based thesis project, comparing tradeoffs in scalability, maintainability, operational complexity, and fit for real inventory workflows.
Skills / 03
Not a keyword wall. This is the stack behind the work: the technologies I use, the areas I combine, and the way I tend to operate across projects.
Layer 01
Layer 02
Layer 03
Layer 04
Capability Areas
I tend to work across product-facing software and technical systems at the same time, moving between implementation, infrastructure, operational context, and the user experience that ties it all together.
Operational app delivery
React Native work shaped around real warehouse usage, field validation, and day-to-day adoption.
Product interfaces and tools
From interactive web products to algorithm visualizers, I like building interfaces that make systems easier to understand.
AWS-first systems thinking
Comfortable designing around Lambda, S3, EC2, Step Functions, and Athena for practical system workflows.
Applied intelligence
I use machine learning where it adds real detection, analysis, or decision-support value.
Security-oriented exploration
Packet sniffing, threat analysis ideas, and cybersecurity study are becoming part of the way I build and investigate systems.
Experience / 04
From agricultural inventory workflows to production web delivery, I’ve worked closest to the points where software has to be practical, stable, and easy to adopt.
Experience Timeline
AgroInventario · Santiago, Chile
Built software around real warehouse operations, with the product shaped by on-site constraints instead of idealized assumptions.
Built and shipped a React Native tablet app for agricultural warehouse inventory control.
Designed UX flows for fast scanning and data entry, improving reliability through field testing and iteration.
Integrated the app with existing operational tools and processes to reduce manual tracking friction.
Led on-site validations with users to support adoption, simple training, and stable day-to-day use.
AMR Films · Chile
Worked on a web product while strengthening the delivery habits that make iterative teams move faster and with less friction.
Contributed to building a new web experience and shipped features in collaboration with the team.
Implemented improvements that streamlined internal workflows and supported day-to-day productivity.
Strengthened version control, testing and QA habits, and iterative development practices.
How I tend to work
I do my best work when software is tied to real operations. That means understanding the workflow, talking to users, tightening the UX, and making sure the result is stable enough to live beyond a demo.
02
Roles
Professional roles delivered across product, mobile, and web contexts.
01
Degree
Engineer in Computer Science, completed December 2025 with degree conferral in June 2026.
Education
Engineer in Computer Science. Completed December 2025, degree conferred June 2026.
Thesis
Evaluation of monolithic, microservices, and serverless architectures for agricultural inventory systems.
Certification
Coursework completed as part of an increasing focus on cybersecurity and threat analysis.
Contact / 05
If the work involves real systems, thoughtful product decisions, and room to build something solid, I’m interested.
Best fit
Teams working on mobile products, cloud systems, operational software, data pipelines, or applied AI with a clear real-world purpose.
Location
Open to local and remote collaboration.
Availability
Especially where product thinking and systems work need to meet.
Focus
Most interested in work with technical depth and practical impact.
Closing Note
The best conversations usually start with a real problem, a messy workflow, or a system that needs to become more usable.
AWS
Data Pipelines
React Native
PostgreSQL
Mobile UX
Operations
Python
TensorFlow
OpenCV
Applied AI
Next.js
Spotify API
Realtime UX
Social Product
Architecture
JavaScript
SQL
C/C++
Ruby
TypeScript
Ruby on Rails
Django
Flask
Tailwind
MySQL
Firebase
Metabase
Docker
Git/GitHub
Postman
Vercel
DigitalOcean
Jupyter
Kali Linux
Web