Luis Montenegro

Software Engineer and AWS Cloud Specialist. Frontend and Mobile Developer. Passionate about Artificial Intelligence

San Luis, Argentina | luismontenegro.lic@gmail.com

About Me

Software Engineer with 6+ years of experience, specialized in Generative AI platforms and cloud infrastructure. I currently design and operate AI platforms with RAG systems, LLM models, and observability on Google Cloud Platform. My background combines data engineering and DevOps (AWS, Terraform, Airflow, Snowflake) with Frontend and Mobile development in React and React Native.

Experience

Elipse Inteligencia Artificial

AI Platform & Cloud Engineer

2026 - Present

Focused on the architecture, development, and operation of Generative AI platforms, with a strong cloud infrastructure and production deployment component. I design generative AI workflows with Dify and Gemini models, integrating RAG systems and optimizing conversational behavior. Infrastructure management spans Google Cloud Platform—VM setup, production environments, and high-availability services for large-scale healthcare and mass-service clients. A key achievement was implementing a modern monitoring platform with SigNoz and ClickHouse, with dashboards for GCP VM status and per-client cost tracking. I also evolve internal AI agent management platforms through Frontend/Backend development and integrate omnichannel conversational assistants across WhatsApp, web chat, and intelligent telephony (Asterisk/IVR) with REST API connections for availability queries and appointment management.
BlueSmile Technology

Cloud Data Engineer

2023 - 2026

Responsible for the Cloud infrastructure and DevOps of a regional data platform (remote) that processes large-scale information across business units. Worked with Infrastructure as Code using Terraform with reusable modules, ensuring secure and scalable deployments. Led the design and automation of CI/CD pipelines in GitLab, coordinated critical releases with automated testing and post-production monitoring, and refactored Apache Airflow DAGs to optimize data ingestion from multiple sources toward its transformation in Snowflake. Mentoring 10+ team members facilitated technical onboarding and promoted cloud architecture best practices.
BlueSmile Technology

Software Engineer

2021 - 2023

Developed web interfaces and components with React, while leading technical planning and sprint strategy. Refactored class components to functional components using Hooks, modernizing the stack and improving maintainability. Incorporated Redux for efficient state management and enhanced the UX/UI with dark mode and optimized components. Implemented Docker deployments with image optimization, accelerating product releases. Carried out API enhancements with new functionality and database adjustments supporting the expansion. Trained internal teams in web development and React Native best practices.
IfElse

Mobile Application Developer

2019 - 2021

Led the mobile development area (hybrid mode), responsible for planning, designing, and building from scratch 5+ native and hybrid applications used by thousands of users. Used React Native (Expo) and Android Studio (Java), creating functional and scalable solutions from architecture through Google Play Store publication. Implemented segmented push notifications with Firebase, managed local SQLite databases, and ensured efficient synchronization with relational systems.
IfElse

Frontend Developer

2019 - 2019

Actively participated in modifying existing websites, as well as creating modern, responsive landing pages with HTML, CSS, and JavaScript for marketing campaigns and product validation, integrated with API-Rest backend services and optimized for multiple devices and browsers.

Certifications

🏅AWS Certified Cloud Practitioner

Verification Link
🏅GitHub Foundations

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🏅Docker Foundations Professional

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🏅Scrum Fundamentals

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Education

Universidad Nacional de San Luis (UNSL)

2017 - 2023

Bachelor's Degree in Computer Science
Universidad Nacional de San Luis (UNSL)

2014 - 2018

System Analyst and Programmer

Projects

Cuentitas •

With a minimalist and easy-to-use UI, allows you to enter group expenses and calculate how much each person should pay.

React & TypeScriptSplit Bills
Big Five Prediction •

Personality prediction with Machine Learning. Development and implementation of my Bachelor's Thesis final project.

Sckit-LearnMachine LearningPython
DolarArg •

Web app that shows the price of the dollar in Argentina. Uses an API to get the data in real time.

AstroAPIsDollar

Skills

HTML
CSS
JavaScript
Tailwind
TypeScript
Node
MySQL
Git
GitHub
Next.js
React
AWS
Terraform
Python
GitLab
CI/CD
Docker
Astro
GCP
Azure
React Native
Expo
Redux
Apache Airflow
Snowflake
PostgreSQL
SQLite
Firebase
Flask
Scikit-Learn
Dify
Vite
Netlify
Vercel