Marcos Echagüe

- Designed and developed a SaaS AI-powered platform to create dynamic conversational training courses for enterprises.
- Integrated OpenAI, 11Labs, and Tavus APIs for voice and video generation.
- Built the application backend using AWS SST (Serverless Stack), TypeScript, PostgreSQL, and Lambda functions.
- Collaborated with frontend developers and product team to deliver scalable, AI-enhanced features.
Technologies: TypeScript, AWS SST, PostgreSQL, OpenAI, 11Labs, Tavus, Lambda, Serverless Architecture

- Developed core backend logic for a real-time healthcare platform focused on appointment workflow prediction.

- Engineered APIs to collect key data for downstream Machine Learning predictions on appointment durations.

- Designed a Dockerized local development environment, enabling faster testing and smoother onboarding.

- Application ran in Kubernetes pods but followed a monolithic architecture.

Technologies: Java, Spring Boot, PostgreSQL, Docker, AWS (ECS, Lambda, API Gateway), Kubernetes

- Designed and built a backend/admin interface to track inter-branch driver transfers and working hours.
- Implemented with Strapi and TypeScript to manage routes, logs, and driver timelines.
- Enabled real-time tracking and visualization of driver activity.
Technologies: TypeScript, Strapi, PostgreSQL, Docker

- Delivered enterprise-grade backend systems and guided junior developers in an Agile environment.

- Improved code quality and team efficiency by leading code reviews and implementing best practices.

Technologies: Java, Spring Boot, PostgreSQL, Jenkins, Docker, AWS, React, Kotlin

- Contributed to the development of core banking applications using both monolithic and microservice approaches.

- Supported and mentored junior team members while delivering stable backend services.

Technologies: Java, Spring, Oracle PL/SQL, REST APIs, Linux, Docker, Jenkins