Computer Science Engineer with hands-on experience building practical software across mobile, cloud, and machine learning. I focus on turning complex workflows into clear products and reliable systems.
Computer Science Engineer with hands-on experience building practical software across mobile, cloud, and machine learning. I focus on turning complex workflows into clear products and reliable systems.
Portrait
Current Focus
Stack Orbit
Terminal
About / 01
I work best on products that solve real operational problems and need both technical quality and practical usability.
Portrait
What I Offer
A combination of hands-on engineering, systems thinking, and product awareness. I care about how a system is built, how it scales, and whether people will actually want to use it.
My strongest work has come from building software tied to real environments, not just demos. I have worked on mobile tools for warehouse operations, cloud pipelines for large datasets, and machine learning systems for analysis and detection. What interests me most is building products that are useful, reliable, and clear for the people who depend on them.
Real
Operational Experience
I have built software shaped by actual user workflows and real day-to-day constraints.
End-to-End
Product Mindset
I enjoy thinking across implementation, architecture, usability, and adoption.
Broad
Technical Range
Comfortable across mobile, web, cloud, data, and applied machine learning.
Core Strengths
What Defines My Work
I care about whether a product is practical, reliable, and easy to adopt.
I enjoy connecting frontend, backend, cloud, and data into one clear solution.
I improve fastest through projects that push me into new technical depth.
Projects / 02
These projects reflect the kind of engineering I enjoy most: practical systems, clean technical structure, and products shaped by real constraints.
Project Gallery
A machine learning-based security tool built to identify malicious network traffic and support threat detection. The project focuses on helping analyze large volumes of network data more efficiently by turning raw traffic into signals that can distinguish normal behavior from potential attacks.
An interactive learning platform designed to make algorithms easier to understand through visual simulation. Users can explore how different sorting, graph, backtracking, and pathfinding algorithms behave step by step, making abstract concepts much more intuitive and engaging.
A cloud-based data processing and reporting system built to organize large tax datasets and make them easier to analyze. The project supports cleaner data preparation, structured querying, and dashboard-based reporting so users can extract useful insights from complex information more efficiently.
A full-featured wishlist management application that allows users to organize products into personal lists, control privacy (public, private, or link-only), and share curated collections with others. The platform focuses on making it easy to collect, manage, and share items through a clean, responsive, and user-friendly interface.
An AI-assisted diagnostic project created to help identify dental cavities from radiographic images. The goal was to explore how machine learning can support medical image analysis by improving the speed and consistency of cavity detection.
A mobile ordering app created to improve the food pickup experience on campus. It allows users to place orders more efficiently and helps reduce waiting times by making the ordering flow faster and more organized for both customers and staff.
A social music web app that allows people in the same space to join a shared session, vote on songs, and interact with a live queue. The product was designed to make group music selection more dynamic while still giving playlist control to the host or DJ.
Skills / 03
This is the stack behind the work: technologies I have used in projects, systems I am comfortable building around, and the ways I tend to operate across teams and products.
Layer 01
Layer 02
Layer 03
Layer 04
Capability Areas
I work best across product-facing software and technical systems at the same time, moving between implementation, cloud infrastructure, operational context, and the user experience that ties it all together.
Real operational app delivery
Experience building React Native software shaped by warehouse usage, field validation, and adoption.
Interfaces with technical depth
I enjoy building products that make complex systems more understandable and more usable.
AWS-oriented system design
Comfortable with practical workflows built on Lambda, S3, EC2, Step Functions, and Athena.
Applied machine learning
I use machine learning where it adds real value for detection, analysis, or decision support.
Growing cybersecurity focus
Threat analysis projects and cybersecurity study are becoming an important part of how I build.
Experience / 04
From agricultural inventory operations to collaborative web delivery, my experience has been closest to the point where software needs to be practical, stable, and easy to adopt.
Experience Timeline
AgroInventario · Santiago, Chile
Built software around real warehouse operations, replacing a high-cost legacy setup with a more flexible and accessible mobile solution.
Led the end-to-end development of a React Native tablet application for agricultural warehouses, replacing a high-cost legacy inventory system with a more flexible and cost-efficient mobile solution.
Designed UX flows optimized for barcode scanning and rapid data entry, enabling efficient operation across multiple warehouse environments.
Expanded system accessibility by enabling deployment on lower-cost devices, increasing coverage across more operational areas.
Integrated the application into existing workflows, improving tracking accuracy and day-to-day inventory management.
Conducted on-site field testing and iterative improvements to ensure usability, reliability, and strong user adoption.
Contributed to reducing product loss and expired inventory through improved tracking visibility and operational control.
AMR Films · Chile
Worked on a web platform in a collaborative environment, contributing to product delivery while strengthening implementation and development practices.
Contributed to the development and launch of a web platform, delivering user-facing features in a collaborative engineering environment.
Implemented improvements that streamlined internal workflows and increased day-to-day team productivity.
Applied structured development practices including version control, testing, QA habits, and iterative delivery cycles.
Participated in feature design and implementation, strengthening full-stack development capabilities.
How I tend to work
I do my best work when software is tied to actual 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
Professional Roles
Delivered across mobile and web environments with real users and operational context.
2026
Degree Conferral
Engineer in Computer Science from Universidad de los Andes.
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
Completed through Coursera as part of an increasing focus on cybersecurity and threat analysis.
Contact / 05
I’m especially interested in work that combines technical depth, product thinking, and real operational value.
Best Fit
Teams building 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 strong execution and systems thinking are both needed.
Focus
Most interested in projects 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 clearer, more reliable, and easier to use.
Python
Data Pipelines
React
TypeScript
Visualization
AWS
Metabase
Jupyter
Next.js
Tailwind
TensorFlow
OpenCV
Applied AI
PostgreSQL
Mobile UX
Operations
Spotify API
Social Product
JavaScript
SQL
C/C++
Ruby
Flask
Django
Ruby on Rails
MySQL
Docker
Git/GitHub
Firebase
Postman
Vercel
DigitalOcean
Kali Linux
Web