Daniel Zapata Grajalez

Designed and deployed end-to-end AI solutions for clients, including RAG pipelines, LLM-powered agents, and multi-step agentic workflows. Built and fine-tuned machine learning models using AWS SageMaker and Amazon Bedrock, covering the full ML lifecycle.

Collaborate with cross-functional teams to identify, troubleshoot, and resolve complex issues across front-end and back-end systems. Design, develop, and deploy new features and system enhancements that improve site performance and user experience.

Architected and led full-stack development of an AI-powered investment platform, designing a scalable component library in Next.js and Tailwind CSS. Built a RAG pipeline for contextual retrieval of financial documents and market data.

Contributed to four major international and multicultural projects, developing scalable web applications for high-profile clients across agriculture, finance, and technology. Improved mobile and web user experiences for clients like Syngenta and Corteva by redesigning financial systems and integrating financial data.

Orchestrated the training and development of more than 12 student teams in a dynamic, hands-on learning environment, focusing on end-to-end development of web applications. Fostered a culture of technical excellence and guided teams through planning, development, and deployment phases.

Contributed to four major international and multicultural projects, developing scalable web applications tailored to high-profile clients across diverse industries. Played a pivotal role in collaborative efforts with cross-functional teams to ensure robust, scalable solutions aligned with client specifications.

Established a business providing IT solutions, including structured cabling, security systems, and computer maintenance. Managed all aspects of business operations, from project management to client engagement and technical execution.

Pursuing a Master's in Artificial Intelligence, focusing on production-grade AI systems.

Activities and societies: Leading technology research projects; measuring and controlling physical variables in industrial processes; working with cutting-edge technologies like robotics, expert systems, neural networks, and adaptive control techniques.

Earned a Bachelor's degree in Instrumentation and Control Engineering, with coursework in robotics, expert systems, and neural networks.