Greater Santiago, Chile
AI Engineer & Associate Research Software Engineer
I build deployable AI and scientific software for research workflows: GenAI systems, cloud AI, and deep-learning pipelines for radio astronomy and FRB detection.
Open to research-adjacent engineering, AI for Science, and deep-tech roles.
Computer Science Engineer from Universidad Tecnica Federico Santa Maria. Currently AI Engineer at Itau Chile and Associate Research Software Engineer at Centro Astro-Ingenieria UC.
Core focus: reliable research software, scientific workflows, AI agents for research, and production ML/GenAI infrastructure. Thesis work: DRAFTS++ / DRAFTS-MB for fast radio transient and FRB detection.
A bit more about meDRAFTS-UC / DRAFTS++ / DRAFTS-MB
Research software / scientific computing / deep learning pipeline
Research software / scientific computing / deep learning pipeline
Deep-learning pipeline for fast radio transient and FRB detection. Work focused on robustness, deployment, reproducibility, and high-frequency / millimeter radio astronomy regimes.
MCP-Server-PRESTO
AI agents / MCP / radio astronomy tooling
AI agents / MCP / radio astronomy tooling
MCP server for PRESTO-oriented radio astronomy workflows, enabling controlled LLM access to scientific tools with reproducible execution patterns.
Production university system / automation
UTFSM sports court booking workflow focused on cleaner reservations and operational efficiency.
Serverless AI Document Processing System
Enterprise AI / serverless system
Enterprise AI / serverless system
Serverless AI workflow for vehicle document classification, extraction, and validation at COPEC.
Secondary project / network automation prototype
Intent-based network prototype that converts natural-language commands into simulated network configurations.
Remote
Building GenAI agents, MCP tools, and scientific software for radio astronomy workflows.
Hybrid - Las Condes, Santiago, Chile
Developing enterprise GenAI systems with AWS Bedrock AgentCore and cloud-native AI architectures.
Hybrid
Extended and operationalized the DRAFTS deep-learning pipeline for fast radio transient and FRB detection.
Hybrid
Applied ML, SQL, BigQuery, RAG applications, and GenAI-oriented development.
Part-time
Coordinated teaching assistant work for Software Engineering coursework.
Part-time
Supported software design, development practices, and project execution coursework.
Part-time - Remote
Built embedded and full-stack systems using PERN stack, Python, AWS, and GitHub Actions CI/CD.
Part-time / Hybrid
Supported a serverless AI workflow for vehicle document classification, extraction, and validation.
On-site
Built a Python prototype integrating Excel and GLPI for automated IT asset management.
On-site
Configured Power Platform, Azure DevOps, GitHub Enterprise Cloud, and CI/CD automations.
TypeScript 
NestJS 
PyTorch 
TensorFlow / Keras 
BigQuery 
Amazon Bedrock 
Lambda 
Step Functions 
CloudFormation 
API Gateway 
S3 
DynamoDB 
PRESTO Universidad Técnica Federico Santa María
Completed Dec 2025
Engineering degree with a technical focus on software engineering, AI, backend systems, cloud computing, and research-oriented software development.
Pontificia Universidad Católica de Chile
Jun 2025 - Nov 2025
Academic exchange period connected to research work at Centro Astro-Ingeniería UC.
Radio astronomy deep-learning pipeline
Defended Jan 22, 2026 - Grade: 100/100
Operational extension of a scientific software pipeline for detecting and classifying fast radio transients and Fast Radio Bursts, with work toward high-frequency and millimeter radio astronomy regimes.
I am most interested in research-adjacent engineering, scientific software, AI for Science, observatory computing, deep-tech, and production AI systems.