David Rengifo
Ingeniero de software e inteligencia artificial
Perfil profissional
AI/Data Engineer focused on production systems: data pipelines, scalable APIs and LLM apps (RAG). Skilled in FastAPI, PostgreSQL, Redis, vector search and CI/CD. Backend-oriented with real deployment experience. Scientific background ensures strong data quality and model validation.
Experiência de trabalho
Built real-time data pipelines combining API ingestion and web scraping. Designed storage and processing workflows using PostgreSQL and Redis. Developed monitoring dashboards and optimized performance with caching strategies.
realização principalDesigned scalable real-time data pipeline architecture with optimized query performance.
Built end-to-end LLM applications using RAG architectures for semantic search and data retrieval. Designed fullstack systems including FastAPI backends and React frontends for user interaction. Implemented vector search (pgvector) and real-time APIs, deploying with Docker and CI/CD.
realização principalDelivered production-ready AI system integrating LLMs with structured and unstructured data.
Developed embedded software for IoT railway systems using C on STM32. Designed and implemented error-handling and reliability mechanisms for low-latency communication (<3s). Contributed to backend tools and deployment workflows using Docker and CI/CD practices.
realização principalImproved system reliability and fault tolerance in a production IoT railway environment.
Formação acadêmica
Aix-marseille university | Maestría
