Aerofit-showcase
Determines whether a pilot is fit to fly by issuing a traceable verdict grounded in aviation regulations, clinical exams, and real-time sensors.
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Portfolio — 2026 · Valparaíso, Chile
Applied AI · regulated domains · quantum research
I build AI you can defend: systems grounded in real sources, in domains where a wrong answer has consequences. I step into terrain I don't know, learn it in depth, and deliver something that works inside it.
I work at the intersection of applied AI, data science and high-consequence domains: I ground my models in real sources so every answer can be verified and nothing is hallucinated. I proved it in health and aviation —two fields where an error is not a bug—, but the method applies to any of them.
My projects come from unrelated industries —pharmacy, aviation medicine, VR education, infrastructure—. I was an expert in none of them when I started. That is the point: not that I know one subject, but that I know how to learn any of them.
Determines whether a pilot is fit, fit with restrictions, or unfit—grounded in official regulations, with a traceable verdict.
AI-powered shift management, inventory control with expiration tracking, and a RAG assistant grounded in MINSAL regulations.
Local RAG assistant for querying CINF104 course PDFs using Ollama, LangChain, and ChromaDB.
✦ Auto-generated summary — Web application that classifies documents using a multimodal LLM and generates outputs in Excel or Word.
✦ Auto-generated summary — Teleprompter that scrolls at the pace of the voice using local Whisper, without sending data to the cloud.
✦ Auto-generated summary — FastAPI API that embeds handwritten, typed, or image-based signatures into PDF and DOCX documents.
✦ Auto-generated summary — Web application that converts any CSV into a visual analytics report, 100% in the browser.
✦ Auto-generated summary — Comparison of four optimization approaches for the Bounded Multiple TSP on TSPLIB instances.
✦ Auto-generated summary — Binary healthy food classifier with a custom CNN on Food-101 and a Streamlit demo.
✦ Auto-generated summary — Estación IoT maestro-esclavo con ESP32 y analítica ambiental en PySpark.
✦ Auto-generated summary — Web simulator for the torpedo fire control computer (TDC) of Type VII submarines.
✦ Auto-generated summary — World Cup data analysis using PySpark: DataFrames, RDDs, and Spark SQL in a single pipeline.
✦ Auto-generated summary — Personal task manager built with React and TypeScript featuring filters, priorities, and statuses.
✦ Auto-generated summary — Python pipeline to recolor 8192² textures of a voxel soldier while preserving fabric detail.
Private Data/AI project — summary not publicly available.
Private web development project — summary not publicly available.
Video game in development (private); its texture tools are public.
Determines whether a pilot is fit to fly by issuing a traceable verdict grounded in aviation regulations, clinical exams, and real-time sensors.
No-Code assistant orchestrated by Google Gemini that automates administrative workflows for SMEs, designed to reduce manual work by at least 40%.
The open technical engine behind pilot fitness evaluation: a Dual-Engine architecture (air-gapped RAG + ML) built on public data and regulations.
Immersive virtual reality chemistry lab for Meta Quest, developed in Unity.
✦ Auto-generated summary — Productivity dashboard featuring projects, tasks, a Pomodoro timer, and notes, built on Next.js and Supabase.
A daily-use pharmaceutical platform that automates shift scheduling with AI, manages inventory expirations, and responds to traceable regulatory queries anchored to MINSAL.
Generates ATS-parseable CV variants from a canonical master profile, where every data point retains its provenance and the AI does not hallucinate.
Extracts success stories from Starter Story on YouTube and processes them with Gemini to generate traceable business proposals for Latin America.
06 — Contact
I'm looking for an AI/ML Engineer or Applied Scientist role. Open to any team with a hard problem —health, industry, science, critical systems or elsewhere— that needs someone to learn the terrain and deliver something finished. Available 2026 and 2027, in Chile or abroad.