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laker_daniel

Daniel Walker

@laker_daniel

AI Engineer LLM RAG Developer

China
Inglés
Parte de la información aparece en idioma inglés.
Sobre mí
I am an AI Engineer specializing in LLM applications, RAG systems, and AI automation solutions. I build intelligent AI assistants, knowledge bases, and custom applications using Python, LangChain, OpenAI API, and modern AI technologies. My services include: - AI Knowledge Assistant development - Retrieval-Augmented Generation (RAG) systems - ChatGPT and LLM API integration - Document intelligence and automation - Data processing and AI workflows I focus on building practical AI solutions that help businesses improve efficiency and make better use of their data.... Lee más

Habilidades

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laker_daniel
Daniel Walker
desconectado • 

Revisa mis servicios

Implementación y despliegue de IA
I will build an ai knowledge assistant using rag and langchain

Porfolio

Experiencia laboral

Freelancing_Career

AI Engineer / Data Engineer

Freelancing Career • Freelance

Mar 2023 - Present3 yrs 5 mos

Developed AI-powered applications including data processing pipelines, LLM-based assistants, and automation solutions.

Self_Employed

Java Software Engineer / Backend Architect

Self Employed • Trabajador autónomo

Jul 2003 - Feb 202319 yrs 7 mos

Experienced Java software engineer with over 15 years of experience designing and developing enterprise-level applications and backend systems. Worked on large-scale software projects involving Java, Spring Framework, Spring Boot, RESTful APIs, microservices architecture, database design, and distributed systems. Responsible for system architecture design, technical solutions, performance optimization, and development team collaboration. Experienced in building reliable, scalable, and maintainable applications for business-critical systems. Key expertise includes: - Java enterprise application development - Spring Boot and microservices architecture - REST API design and integration - Database optimization and data processing - System architecture and technical planning - Cloud-based application deployment Recently focusing on AI application development, including LLM integration, RAG systems, and intelligent automation solutions using Python and modern AI technologies.