Greater Madrid Metropolitan Area
I’ve been building software for over 15 years: writing code, leading teams and designing products. My focus has always been solving real problems, from architecture to delivery. Now building AI apps with Python, LLMs, RAG pipelines, and multimodal models. I share how I build them and how I use AI coding assistants to build faster. Sharing everything on GitHub under HeyNina101. Follow if you want to build with AI, not just read about it. ◾Content is independent: no sponsorships, no paid placements. All reviews and recommendations reflect my own judgment.
Developing AI solutions with large language models (LLMs), retrieval-augmented generation (RAG) pipelines, embeddings, prompt engineering, and orchestration frameworks to support internal workflows. Involved in model evaluation, testing, auditing and implementing guardrails, with a focus on ethical, transparent and responsible AI for the public sector.
Independent AI researcher exploring LLM-based agents, multimodal models, RAG pipelines, and AI architectures through experimentation, sharing findings from actual projects as open-source prototypes on GitHub under HeyNina101.
Led product development for backend and data systems powering large-scale virtual sports platforms. – Defined product architecture, aligning engineering decisions with business strategy. – Coordinated data analysis pipelines and API integration across teams. – Communicated technical concepts to non-technical stakeholders to ensure product coherence.
Developed and optimized backend systems for VOIP/IMS, focusing on architecture, multithreading, queues and process automation. Developed secure, multithreaded backend processes and managed queues for reliable, concurrent operations. Designed and optimized data pipelines and service integrations to ensure consistency and system efficiency. Automated workflows and backend processes to improve performance, reduce latency and enhance maintainability. Monitored, analyzed and tuned system performance, addressing bottlenecks and ensuring scalability under load.
Contributed to the design, implementation and maintenance of backend systems and database solutions, ensuring reliable and maintainable operations. ▪︎ Designed backend architectures and data workflows to meet operational requirements and support long-term system stability. ▪︎ Developed backend applications with a focus on clean and efficient code. ▪︎ Optimized database schemas and queries to handle structured and semi-structured data effectively. ▪︎ Maintained and improved existing backend systems, addressing operational issues and enhancing performance. ▪︎ Applied disciplined software engineering practices in architecture, data modeling and system design.