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Erick Antonio Caycho Ponce

Erick Antonio Caycho Ponce

Teach Lead Backend at Entelgy - Mg. Data Science - Ing. Sistemas

Lima, Peru

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I am a Systems Engineering graduate from the Peruvian University of Applied Sciences (UPC). I also hold a technical specialist degree in Networks and Data Communications from the Tecsup N1 Higher Technological Institute. Currently, I am a Java Backend Tech Lead at Entelgy Perú SAC with 10 years of experience designing and implementing IT solutions for the Marketing and Sales functional areas (Salesforce CRM and Pardot). I have experience as a Solutions Architect and Scrum Master in Digital Banking and Digital Transformation projects within the financial sector. My strengths include working well under pressure and as part of a team, and I am a fast learner.

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Area of Expertise

  • Finance & Banking
  • Information & Communications Technology

Topics

  • GenAI
  • Artificial Intelligence
  • Data Science
  • RPA to Autonomous Agents
  • Java in the cloud
  • springboot
  • MongoDB Atlas
  • Machine Learning & AI
  • Deep Learning (DL)
  • MCP
  • RAG
  • LangChain
  • Java SDK 17
  • Java Performance
  • Core Java / Java SE
  • Python on Azure
  • scikit-learn
  • OpenAI
  • OpenAPI
  • OpenTelemetry
  • Kubernetes
  • Docker
  • OWASP
  • Postman
  • podman
  • Ciberseguridad IT
  • Github Copilot
  • GitHub

Sessions

Construyendo un RAG Híbrido en Java con Spring Boot, LangChain4j y Azure AI Search

En esta charla mostraremos cómo implementar un sistema RAG (Retrieval-Augmented Generation) híbrido utilizando Java 17, Spring Boot, LangChain4j y Azure AI Search. Explicaremos las diferencias entre un RAG embebido, cloud y híbrido, y por qué el enfoque híbrido ofrece el equilibrio ideal entre eficiencia, costo y control.

Construiremos un flujo completo: ingesta de documentos, chunking, embeddings, indexación vectorial, recuperación semántica y respuestas con OpenAI. Además, incluiremos buenas prácticas de seguridad y lineamientos OWASP para aplicaciones con LLM, abordando aspectos como protección ante prompt injection, manejo seguro de claves y control del contexto enviado al modelo.

La sesión incluye una demo funcional y recomendaciones prácticas para llevar un RAG a producción dentro del ecosistema Java.

Erick Antonio Caycho Ponce

Teach Lead Backend at Entelgy - Mg. Data Science - Ing. Sistemas

Lima, Peru

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