Backend Engineer | AI-Oriented Developer | Python | FastAPI | RAG Systems
Computer Systems Engineer focused on building scalable backend systems and high-performance APIs.
Currently specializing in applied artificial intelligence, with a focus on LLMs and Retrieval-Augmented Generation (RAG) architectures, developing practical projects aimed at integrating these models into real-world applications.
Experience designing backend services, data-oriented architectures, and end-to-end solutions with an emphasis on maintainability, efficiency, and scalability.
- Backend: Python (FastAPI, Django, Flask), Node.js
- AI / Data: RAG (applied learning), NLP, LLM integration
- Frontend: React, Next.js, TypeScript
- Databases: MongoDB, MySQL, SQL Server
- Infrastructure & Tools: Docker, Linux, Git, REST APIs, Postman
Experimental platform based on Retrieval-Augmented Generation (RAG) architecture for structured content generation using AI.
This project represents a hands-on implementation of concepts currently being developed, including contextual retrieval, knowledge organization, and assisted generation of complex entities (worlds and characters). Built with a focus on technical exploration and applied learning, emphasizing understanding of AI pipelines and their integration into backend systems.
Technologies: Python, RAG, NLP, LLMs
Backend system for equipment loan management, developed end-to-end covering analysis, design, and implementation. Includes user management, inventory control, and operational workflows.
Technologies: PHP, JavaScript, MySQL
- Building robust and scalable APIs
- Progressive integration of AI models into real-world systems
- Designing data-driven architectures
- Continuous, hands-on learning applied to practical problems
Mexico (Remote)
Email: serchgonzalez1997@gmail.com
LinkedIn: https://www.linkedin.com/in/sergio-guadalupe-gonzalez-chavez-9a94a81b4/